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community_datasets.csv
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id,provider,title,type,tags,sample_code
projects/sat-io/open-datasets/shoreline/mainlands,"United States Geological Survey, USGS",Global Shoreline Dataset,table,"Global Shoreline, Shoreline, mainlands, Oceans",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES
projects/sat-io/open-datasets/shoreline/big_islands,"United States Geological Survey, USGS",Global Shoreline Dataset,table,"Global Shoreline, Shoreline, big islands, Oceans",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES
projects/sat-io/open-datasets/shoreline/small_islands,"United States Geological Survey, USGS",Global Shoreline Dataset Small Islands,table,"Global Shoreline, Shoreline, small islands, Oceans",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES
projects/sat-io/open-datasets/OSM_waterLayer,"Institute of Industrial Sciences, Open Street Map, OSM",OSM Water Layer Surface Waters,image_collection,"Global water layer, Open Street Map, OSM, Surface Water",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/OSM-WATER-SURFACE
users/gena/global-hand/hand-100,"Gennaddi Donchyts, Deltares",Global 30m Height Above the Nearest Drainage with Number of River head threshold cells 100,image_collection,"Global Hand, Hydrology, drainage, hand",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE
users/gena/GlobalHAND/30m/hand-1000,"Gennaddi Donchyts, Deltares",Global 30m Height Above the Nearest Drainage with Number of River head threshold cells 1000,image,"Global Hand, Hydrology, drainage, hand",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE
users/gena/GlobalHAND/90m-global/hand-1000,"Gennaddi Donchyts, Deltares",Global 90m Height Above the Nearest Drainage with Number of River head threshold cells 1000,image,"Global Hand, Hydrology, drainage, hand",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE
projects/sat-io/open-datasets/GMW/change/change_f1996,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-change_f1996 : Raster,image_collection,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2007_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2007_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2008_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2008_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2009_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2009_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2010_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2010_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2015_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2015_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2016_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2016_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2017_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2017_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2018_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2018_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2019_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2019_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2020_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Change-gmw_v3_f1996_t2020_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/core/gmw_v3_core_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Core-gmw_v3_core_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/core/gmw_v3_mng_core,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Core-gmw_v3_mng_core : Raster,image,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/GMW_V3,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3 : Raster,image_collection,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_1996_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_1996_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2007_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2007_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2008_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2008_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2009_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2009_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2010_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2010_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2015_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2015_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2016_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2016_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2017_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2017_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2018_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2018_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2019_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2019_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/extent/gmw_v3_2020_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Extent-gmw_v3_2020_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/gmw_v3_tiles,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Gmw-gmw_v3_tiles : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/union/gmw_v3_mng_union,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Union-gmw_v3_mng_union : Raster,image,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/GMW/union/gmw_v3_union_vec,"Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",Global Mangrove Watch v3 Union-gmw_v3_union_vec : Vector,table,"Global, Mangrove, GMW",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH
projects/sat-io/open-datasets/gcc/MODCF_CloudForestPrediction,"Earthenv, Wilson AM, Jetz W",Cloud Forest Prediction,image,"Earthenv, cloud forest prediction, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_interannualSD,"Earthenv, Wilson AM, Jetz W",Mean between-year seasonality,image,"Earthenv, mean, seasonality, between year, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_intraannualSD,"Earthenv, Wilson AM, Jetz W",Within-year seasonality,image,"Earthenv, seasonality, within year, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_meanannual,"Earthenv, Wilson AM, Jetz W",Mean annual cloud frequency,image,"Earthenv, cloud frequency, annual, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_monthlymean,"Earthenv, Wilson AM, Jetz W",Mean monthly cloud frequency,image_collection,"Earthenv, cloud frequency, monthly, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_seasonality_rgb,"Earthenv, Wilson AM, Jetz W",Seasonality concentration and angle (theta),image,"Earthenv, cloud concentration, seasonality, angle, MODIS,Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_seasonality_theta,"Earthenv, Wilson AM, Jetz W",Timing of peak seasonal cloud concentration,image,"Earthenv, cloud concentration, seasonality, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_seasonality_visct,"Earthenv, Wilson AM, Jetz W",Seasonality single band with color table,image,"Earthenv, cloud concentration, seasonality, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/sat-io/open-datasets/gcc/MODCF_spatialSD_1deg,"Earthenv, Wilson AM, Jetz W",Spatial variability (1 degree SD),image,"Earthenv, spatial variability, seasonality, MODIS, Global Cloud",https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality
projects/soilgrids-isric/bdod_mean,International Soil Reference and Information Centre (ISRIC),Bulk density of the fine earth fraction,image,"Global Soilgrid, bulk density, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/cec_mean,International Soil Reference and Information Centre (ISRIC),Cation Exchange Capacity of the soil,image,"Global Soilgrid, Cation Exchange Capacity, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/cfvo_mean,International Soil Reference and Information Centre (ISRIC),Volumetric fraction of coarse fragments,image,"Global Soilgrid,Volumetric fraction, coarse fragments, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/clay_mean,International Soil Reference and Information Centre (ISRIC),Proportion of clay particles (lt 0.002 mm) in the fine earth fraction,image,"Global Soilgrid, clay, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/nitrogen_mean,International Soil Reference and Information Centre (ISRIC),Total nitrogen,image,"Global Soilgrid, Nitrogen, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/phh2o_mean,International Soil Reference and Information Centre (ISRIC),Soil pH,image,"Global Soilgrid, ph, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/sand_mean,International Soil Reference and Information Centre (ISRIC),Proportion of sand particles (gt 0.05 mm) in the fine earth fraction,image,"Global Soilgrid, Sand, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/silt_mean,International Soil Reference and Information Centre (ISRIC),Proportion of silt particles (gte 0.002 mm and lte 0.05 mm) in the fine earth fraction,image,"Global Soilgrid, Silt, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/soc_mean,International Soil Reference and Information Centre (ISRIC),Soil organic carbon content in the fine earth fraction,image,"Global Soilgrid, Organic carbon content, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/ocd_mean,International Soil Reference and Information Centre (ISRIC),Organic carbon density,image,"Global Soilgrid, Organic carbon density, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/soilgrids-isric/ocs_mean,International Soil Reference and Information Centre (ISRIC),Organic carbon stocks,image,"Global Soilgrid, Organic carbon stocks, ISRIC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250
projects/sat-io/open-datasets/hrsl/hrslpop,"Center for International Earth Science Information Network(CIESIN), Facebook",High Resolution Settlement Layer: Overall Population,image_collection,"High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m
projects/sat-io/open-datasets/hrsl/hrsl_men,"Center for International Earth Science Information Network(CIESIN), Facebook",High Resolution Settlement Layer: Men,image_collection,"High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m
projects/sat-io/open-datasets/hrsl/hrsl_women,"Center for International Earth Science Information Network(CIESIN), Facebook",High Resolution Settlement Layer: Women,image_collection,"High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, women",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m
projects/sat-io/open-datasets/hrsl/hrsl_youth,"Center for International Earth Science Information Network(CIESIN), Facebook",High Resolution Settlement Layer: Youth,image_collection,"High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, youth",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m
projects/sat-io/open-datasets/hrsl/hrsl_children_under_five,"Center for International Earth Science Information Network(CIESIN), Facebook",High Resolution Settlement Layer: Children under five,image_collection,"High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, children",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m
projects/sat-io/open-datasets/hrsl/hrsl_women_reproductive_age,"Center for International Earth Science Information Network(CIESIN), Facebook",High Resolution Settlement Layer: Women of reproductive age,image_collection,"High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, women, reproductive",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m
projects/sat-io/open-datasets/hrsl/hrsl_elderly_over_sixty,"Center for International Earth Science Information Network(CIESIN), Facebook",High Resolution Settlement Layer: Elderly over sixty,image_collection,"High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, elderly",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m
projects/mapbiomas-workspace/public/collection7/mapbiomas_collection70_integration_v2,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Final Integrated Land Use Land Cover Maps,image,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection7/mapbiomas_collection70_transitions_v3,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of transition areas (change in coverage or use) between selected years,image,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of quality (change in coverage or use) between selected years,image,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_irrigated_agriculture_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of irrigated agriculture,image,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/nexgenmap/MapBiomas2/LANDSAT/BRAZIL/mosaics-2,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Mosaic tiles of Landsat Images for each year of Collection 7,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_mined_substance_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of Mined substances Collection 6,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_pasture_quality_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of Pasture quality Collection 6,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection6/mapbiomas-water-collection1-annual-water-coverage-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of Annual water coverage Collection 6,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection6/mapbiomas-water-collection1-water-frequency-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of Annual water frequency Collection 6,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection7/mapbiomas-fire-collection1-1-annual-burned-coverage-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of annual burned coverage Collection 7,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection7/mapbiomas-fire-collection1-1-monthly-burned-coverage-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of monthly burned coverage Collection 7,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection7/mapbiomas-fire-collection1-1-fire-frequency-1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of fire frequency Collection 7,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_deforestation_regeneration_v1,"MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",Mapbiomas: Maps of Deforestation Regeneration Collection 6,image_collection,"Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic",https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit
projects/sat-io/open-datasets/global-mining/global_mining_polygons,"FINEPRINT project, European Research Council, European Union's Horizon 2020",Global Mining Polygons,table,"Mining, High Resolution, Global, coal, land-use, metal ores, minerals, raw material extraction",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-AND-VALIDATION
projects/sat-io/open-datasets/global-mining/global_mining_validation,"FINEPRINT project, European Research Council, European Union's Horizon 2020",Global Mining Validation Points,table,"Mining, High Resolution, Global, coal, land-use, metal ores, minerals, raw material extraction",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-AND-VALIDATION
projects/sat-io/open-datasets/predictive-global-power-system/distribution-transmission-lines,"C. Arderne, C. Zorn, C. Nicolas & E. E. Koks",Predicted Distribution and Transmission Lines,table,"Global transmission lines, electricity, infrastructure, power",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS
projects/sat-io/open-datasets/predictive-global-power-system/lv,"C. Arderne, C. Zorn, C. Nicolas & E. E. Koks ",Predicted low-voltage infrastructure in kilometres per cell,image,"Global transmission lines, electricity, infrastructure, power",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS
projects/sat-io/open-datasets/predictive-global-power-system/targets,"C. Arderne, C. Zorn, C. Nicolas & E. E. Koks",Locations predicted to be connected to distribution grid,table,"Global transmission lines, electricity, infrastructure, power",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS
projects/sat-io/open-datasets/GRIP4/Africa,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",GRIP4: Africa,table,"global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT
projects/sat-io/open-datasets/GRIP4/Central-South-America,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",GRIP4: Central and South America,table,"global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT
projects/sat-io/open-datasets/GRIP4/Europe,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",GRIP4: Europe,table,"global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT
projects/sat-io/open-datasets/GRIP4/North-America,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",GRIP4: North America,table,"global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT
projects/sat-io/open-datasets/GRIP4/Oceania,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",GRIP4: Oceania,table,"global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT
projects/sat-io/open-datasets/GRIP4/South-East-Asia,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",GRIP4: South East Asia,table,"global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT
projects/sat-io/open-datasets/GRIP4/Middle-East-Central-Asia,"Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",GRIP4: Middle East and Central Asia,table,"global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT
projects/sat-io/open-datasets/Geomorpho90m/geom,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Geomorphological forms: Geomorphon,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-GEOMORPHOLOGICAL-FORMS
projects/sat-io/open-datasets/Geomorpho90m/slope,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: Slope,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/aspect,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: Aspect,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/aspect-cosine,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: Aspect cosine,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/aspect-sine,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: Aspect sine,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/eastness,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: eastness,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/northness,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: northness,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/convergence,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: convergence,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/spi,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: spi,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/cti,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: cti,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/dx,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: dx,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/dy,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m First order derivatives: dy,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/dxx,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Second order derivatives: dxx,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/dxy,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Second order derivatives: dxy,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/dyy,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Second order derivatives: dyy,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/pcurv,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Second order derivatives: pcurv,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/tcurv,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Second order derivatives: tcurv,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE
projects/sat-io/open-datasets/Geomorpho90m/elev-stdev,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: elev-stdev,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/vrm,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: vrm,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/roughness,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: roughness,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/tri,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: tri,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/tpi,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: tpi,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/dev-magnitude,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: dev-magnitude,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/dev-scale,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: dev-scale,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/rough-magnitude,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: rough-magnitude,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/Geomorpho90m/rough-scale,"Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",Geomorpho90m Ruggedeness: rough-scale,image_collection,"Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS
projects/sat-io/open-datasets/sedac/gpw-v4-admin-unit-center-points-population-estimates-rev11,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)","Gridded Population of the World, Version 4 (GPWv4): Administrative Unit Center Points with Population Estimates",table,"census geography, GPWv4, gridded population, uniform distribution, CIESIN, SEDAC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GPW-v4
projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-pei,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)",West Africa Coastal Vulnerability Mapping: Population Exposure Index (PEI),image,"West Africa, Exposure Index, Population, CIESIN, SEDAC, PEI",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN
projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-paci,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)",West Africa Coastal Vulnerability Mapping: Poverty and Adaptive Capacity Index (PACI),image,"West Africa, Poverty and Adaptive Capacity Index, PACI, Poverty, Capacity, Population, CIESIN, SEDAC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN
projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-svi,"NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)",West Africa Coastal Vulnerability Mapping: Social Vulnerability Index (SVI),image,"West Africa, Social Vulnerability Index, SVI, Population, CIESIN, SEDAC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN
projects/sat-io/open-datasets/landfire/fire-regime/vcc,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Vegetation Condition Class (VCC) LF v2.0.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME
projects/sat-io/open-datasets/landfire/fire-regime/vdep,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Vegetation Departure Index (VDep) LF v2.0.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME
projects/sat-io/open-datasets/landfire/fire-regime/sclass,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Succession Classes (SClass) LF v2.0.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME
projects/sat-io/open-datasets/landfire/disturbance/FDIST,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Fuel Disturbance (FDist) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE
projects/sat-io/open-datasets/landfire/disturbance/HDIST,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Historical Disturbance (HDist) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE
projects/sat-io/open-datasets/landfire/disturbance/DISTYEAR,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Disturbance Year (DistYear) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE
projects/sat-io/open-datasets/landfire/fuel/CH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Forest Canopy Height (CH) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/CC,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Forest Canopy Cover (CC) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/CBH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Forest Canopy Base Height (CBH) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/CBD,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Forest Canopy Bulk Density (CBD) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/FVC,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Fuel Vegetation Cover (FVC) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/FVH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Fuel Vegetation Height (FVH) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/FVT,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Fuel Vegetation Type (FVT) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/FCCS,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Fuel Characteristic Classification System Fuelbeds 2022 (FCCS) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/CFFDRS,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Canadian Forest Fire Danger Rating System 2022 (CFFDRS) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/FBFM13,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",13 Anderson Fire Behavior Fuel Models 2022 (FBFM13) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/fuel/FBFM40,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",40 Scott and Burgan Fire Behavior Fuel Models 2022 (FBFM40) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/vegetation/EVC,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Existing Vegetation Cover (EVC) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-VEGETATION
projects/sat-io/open-datasets/landfire/vegetation/EVH,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Existing Vegetation Height (EVH) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-VEGETATION
projects/sat-io/open-datasets/landfire/vegetation/EVT,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Existing Vegetation Type (EVT) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-VEGETATION
projects/sat-io/open-datasets/GRWL/grwl_SummaryStats_v01_01,"Allen, George H., & Pavelsky, Tamlin M",Global River Width from Landsat (GRWL) Simplified Vector Product V01.01,table,"GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT
projects/sat-io/open-datasets/GRWL/water_vector_v01_01,"Allen, George H., & Pavelsky, Tamlin M",Global River Width from Landsat (GRWL) Vector Product V01.01,table,"GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT
projects/sat-io/open-datasets/GRWL/rssa_basins,"Allen, George H., & Pavelsky, Tamlin M",River and stream surface area totals by drainage basin,table,"GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT
projects/sat-io/open-datasets/GRWL/grwl_tiles,"Allen, George H., & Pavelsky, Tamlin M",Location map of the individual GRWL tiles,table,"GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT
projects/sat-io/open-datasets/GRWL/water_mask_v01_01,"Allen, George H., & Pavelsky, Tamlin M",Global River Width from Landsat (GRWL) Mask V01.01,image_collection,"GRWL, Fluvial Geomorphology, Hydrology, Rivers, River Width, Landsat, MNDWI",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-WIDTH-LANDSAT
projects/sat-io/open-datasets/delta/global-costal-rivers-points,"Caldwell, R. L., Edmonds, D. A., Baumgardner, S., Paola, C., Roy, S., and Nienhuis, J. H.",Global coastal rivers and environmental variables,table,"Fluvial Geomorphology, Hydrology, Rivers, Coastal Rivers, Tidal, River Mouth",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-COASTAL-RIVERS-ENV-VARIABLES
projects/sat-io/open-datasets/facebook/relative_wealth_index,"Center for International Earth Science Information Network(CIESIN), Facebook",Relative Wealth Index (RWI),table,"Relative Wealth Index, RWI, Facebook, CIESIN, gridded",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/RELATIVE-WEALTH-INDEX(RWI)
projects/sat-io/open-datasets/facebook/sci_user_loc,"Center for International Earth Science Information Network(CIESIN), Facebook",Social Connectedness Index First Location(SCI),table,"Social Connectedness Index, SCI, Facebook, CIESIN, country,first location",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/SOCIAL-CONNECTEDNESS-INDEX(SCI)
projects/sat-io/open-datasets/facebook/sci_fr_loc,"Center for International Earth Science Information Network(CIESIN), Facebook",Social Connectedness Index Second Location(SCI),table,"Social Connectedness Index, SCI, Facebook, CIESIN, country, second location",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/SOCIAL-CONNECTEDNESS-INDEX(SCI)
projects/sat-io/open-datasets/landfire/fuel/FCCS,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Fuel Characteristic Classification System Fuelbeds (FCCS) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL
projects/sat-io/open-datasets/landfire/topographic/ELEV,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Elevation (ELEV) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC
projects/sat-io/open-datasets/landfire/topographic/ASP,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Aspect (ASP) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC
projects/sat-io/open-datasets/landfire/topographic/SLP,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Slope Degrees (SLP) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC
projects/sat-io/open-datasets/landfire/topographic/SlpP,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Slope Percentage Rise (SlpP) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TOPOGRAPHIC
projects/sat-io/open-datasets/landfire/transportation/ROADS,"U.S. Department of Agriculture's (USDA) U.S. Forest Service (USFS), U.S. Department of the Interior's Geological Survey (USGS), and The Nature Conservancy",Operational Roads (Roads) LF v2.2.0,image_collection,"doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-TRANSPORTATION
projects/sat-io/open-datasets/facebook/global_medium_voltage_grid,"Center for International Earth Science Information Network(CIESIN), Facebook",Electrical Distribution Grid Maps: Raster,image_collection,"Electrical Distribution Grid, Facebook, Ivory Coast, Democratic Republic of the Congo, Malawi, Nigeria, Uganda, Zambia",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/FACEBOOK-ELECTRICAL-DIST-GRID-MAPS
projects/sat-io/open-datasets/facebook/gmv_grid,"Center for International Earth Science Information Network(CIESIN), Facebook",Electrical Distribution Grid Maps: Vector,table,"Electrical Distribution Grid, Facebook, Ivory Coast, Democratic Republic of the Congo, Malawi, Nigeria, Uganda, Zambia",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/FACEBOOK-ELECTRICAL-DIST-GRID-MAPS
projects/sat-io/open-datasets/wa-datasets/wa_lc_usgs_1975,"United States Geological Survey, USGS",West Africa Land Use and Land Cover 1975,image,"United States Geological Survey, USGS, Land Use, Land Cover, West Africa",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/WEST-AFRICA-LULC
projects/sat-io/open-datasets/wa-datasets/wa_lc_usgs_2000,"United States Geological Survey, USGS",West Africa Land Use and Land Cover 2000,image,"United States Geological Survey, USGS, Land Use, Land Cover, West Africa",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/WEST-AFRICA-LULC
projects/sat-io/open-datasets/wa-datasets/wa_lc_usgs_2013,"United States Geological Survey, USGS",West Africa Land Use and Land Cover 2013,image,"United States Geological Survey, USGS, Land Use, Land Cover, West Africa",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/WEST-AFRICA-LULC
projects/rap-data-365417/assets/vegetation-cover-v3,"USDA NRCS Working Lands for Wildlife, Brady Allred, Matthew Jones, Eric Jensen",Rangeland-Analysis-Platform: Vegetation Cover v2,image_collection,"rangelands, vegetation, time-series, machine learning, landsat",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/RANGELAND-ANALYSIS-PLATFORM-EXAMPLE
projects/rap-data-365417/assets/npp-partitioned-v3,"USDA NRCS Working Lands for Wildlife, Brady Allred, Matthew Jones, Eric Jensen",Rangeland-Analysis-Platform: NPP partitioned v2,image_collection,"rangelands, vegetation, time-series, machine learning, landsat",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/RANGELAND-ANALYSIS-PLATFORM-EXAMPLE
projects/sat-io/open-datasets/us-drought-monitor,"National Drought Mitigation Center at the University of Nebraska-Lincoln, the United States Department of Agriculture, and the National Oceanic and Atmospheric Administration. Map courtesy of NDMC",United States Drought Monitor (USDM),image_collection,"National Drought Mitigation Center, NDMC, Drought, University of Nebraska-Lincoln, United States Department of Agriculture, USDA, National Oceanic and Atmospheric Administration, NOAA, USDM",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/UNITED-STATES-DROUGHT-MONITOR
projects/sat-io/open-datasets/gebco/gebco_grid,"General Bathymetric Chart of the Oceans (GEBCO), Nippon Foundation-GEBCO Seabed 2030 Project",GEBCO 2021 Grid,image_collection,"Nippon Foundation-GEBCO Seabed 2030 Project, GEBCO, General Bathymetric Chart of the Oceans, Bathymetry , Elevation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/GEBCO
projects/sat-io/open-datasets/gebco/gebco_sub-ice-topo,"General Bathymetric Chart of the Oceans (GEBCO), Nippon Foundation-GEBCO Seabed 2030 Project",GEBCO 2021 sub-ice topo/bathy,image_collection,"Nippon Foundation-GEBCO Seabed 2030 Project, GEBCO, General Bathymetric Chart of the Oceans, Bathymetry , Elevation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/GEBCO
projects/sat-io/open-datasets/gebco/gebco_tid_grid,"General Bathymetric Chart of the Oceans (GEBCO), Nippon Foundation-GEBCO Seabed 2030 Project",GEBCO 2021 Type Identifier (TID) Grid,image_collection,"Nippon Foundation-GEBCO Seabed 2030 Project, GEBCO, General Bathymetric Chart of the Oceans, Bathymetry , Elevation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/GEBCO
projects/sat-io/open-datasets/delta/delta-convex-hull,"Edmonds, Douglas A., Rebecca L. Caldwell, Eduardo S. Brondizio, and Sacha MO Siani",Global River Deltas and vulnerability (Convex Hull),table,"Fluvial Geomorphology, Hydrology, Rivers, Coastal Rivers, Tidal, River Mouth, Vulnerability, Poverty",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-DELTAS-VULNERABILITY
projects/sat-io/open-datasets/delta/delta-convex-bounds,"Edmonds, Douglas A., Rebecca L. Caldwell, Eduardo S. Brondizio, and Sacha MO Siani",Global River Deltas and vulnerability (Convex Hull Bounds),table,"Fluvial Geomorphology, Hydrology, Rivers, Coastal Rivers, Tidal, River Mouth, Vulnerability, Poverty",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-DELTAS-VULNERABILITY
projects/sat-io/open-datasets/nasa-harvest/togo_cropland_binary,"Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe,Brian Barker, Blake Munshell,Madhava Paliyam, and Mehdi Hosseini",Togo Cropland Binary,image,"agriculture, Africa, Togo, crops, crop classification, food security, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND
projects/sat-io/open-datasets/nasa-harvest/togo_cropland_probability,"Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe,Brian Barker, Blake Munshell,Madhava Paliyam, and Mehdi Hosseini",Togo Cropland Probability,image,"agriculture, Africa, Togo, crops, crop classification, food security, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND
projects/sat-io/open-datasets/nasa-harvest/kenya_cropland_binary,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef",Kenya Cropland Binary,image,"agriculture, Africa, Kenya, crops, crop classification, food security, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND
projects/sat-io/open-datasets/nasa-harvest/kenya_2019_cropland_probability,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef",Kenya Cropland Probability,image,"agriculture, Africa, Kenya, crops, crop classification, food security, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND
projects/sat-io/open-datasets/nasa-harvest/busia_cropland_binary,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef",Busia Cropland Binary,image,"agriculture, Africa, Busia, crops, crop classification, food security, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND
projects/sat-io/open-datasets/nasa-harvest/busia_cropland_probability,"Tseng, Gabriel, Hannah Kerner, Catherine Nakalembe, and Inbal Becker-Reshef",Busia Cropland Probability,image,"agriculture, Africa, Busia, crops, crop classification, food security, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NASA-HARVEST-CROPLAND
projects/sat-io/open-datasets/NINA/SOC30_SA_mean,"Venter, Zander S, Hawkins, Heidi-Jayne, Cramer, Michael D, & Mills, Anthony J",Soil Organic Carbon Stocks 30m,image_collection,"carbon stocks, land degradation, natural climate solutions, remote sensing, soil mapping, spatial prediction, soil carbon, carbon sequestration",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-ORGANIC-CARBON-SA
projects/sat-io/open-datasets/NINA/SOC30_SA_trend,"Venter, Zander S, Hawkins, Heidi-Jayne, Cramer, Michael D, & Mills, Anthony J",Soil Organic Carbon Stocks Trends 30m,image_collection,"carbon stocks, land degradation, natural climate solutions, remote sensing, soil mapping, spatial prediction, soil carbon, carbon sequestration",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-ORGANIC-CARBON-SA
projects/sat-io/open-datasets/NINA/ELC10,"Venter, Zander S., & Sydenham, Markus A.K.",Continental Scale Land Cover Mapping at 10m Europe,image_collection,"land use, europe, land cover, remote sensing, copernicus, sentinel, satellite",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/EUROPE-10m-LULC
projects/sat-io/open-datasets/events/large_flood_events_1985-2016,"Dartmouth Flood Observatory, Intergovernmental Hydrologic Programme",Global large flood events- Dartmouth Flood Observatory (1985-2016),table,"flood events, flood type, flood cause, Dartmouth Flood Observatory, Intergovernmental Hydrologic Programme",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-LARGE-FLOOD-EVENTS
projects/sat-io/open-datasets/events/global_landslide_1970-2019,NASA Goddard Space Flight Center,Global Landslide Catalog - NASA Goddard (1970-2019),table,"landslide, rainfall, NASA, GLC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-LANDSLIDE-CATALOG
projects/sat-io/open-datasets/health-site-node,Global Healthsites Mapping Project,Global Healthsites Mapping Project: nodes,table,"Global Healthsites Mapping Project, Healthsites, Health, GLC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-HEALTHSITES-MAPPING-PROJECT
projects/sat-io/open-datasets/health-site-way,Global Healthsites Mapping Project,Global Healthsites Mapping Project: ways,table,"Global Healthsites Mapping Project, Healthsites, Health, GLC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-HEALTHSITES-MAPPING-PROJECT
projects/sat-io/open-datasets/HiHydroSoilv2_0/ksat,Future Water,Saturated Hydraulic Conductivity- Ksat,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/sat-field,Future Water,Water content between saturation point and field capacity (pF2)- sat-field,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/N,Future Water,N parameter for Mualem Van Genuchten Equation,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/alpha,Future Water,Alpha parameter for Mualem Van Genuchten Equation,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/crit-wilt,Future Water,Water content between wilting point (pF3)- Wilt Perm,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/field-crit,Future Water,Water content between field capacity (pF2_ and wilting point (pF3)- Field Wilt,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/ormc,Future Water,Organic Matter Content- ORMC,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/stc,Future Water,Soil Texture Class- STC,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/wcavail,Future Water,Available water content- wcavail,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/wcpf2,Future Water,Water content at pF2 (field capacity)- wcpf2,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/wcpf3,Future Water,Water content at pF3 (wilting point)- wcpf3,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/wcpf4-2,Future Water,Water content at pF4.2 (permanent wilting point)- wcpf4.2,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/wcres,Future Water,Residual Water Content- wcres,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/wcsat,Future Water,Saturated water content- wcsat,image_collection,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/HiHydroSoilv2_0/Hydrologic_Soil_Group_250m,Future Water,Hydrologic Soil Group,image,"Global Hydrologic Soil Group, Hydrology, Hydrological, Soil, Hydraulic, Conductivity, Runoff, Run-off, Water, Water Cycle",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/HiHYDRO-SOIL-LAYERS
projects/sat-io/open-datasets/global_ai/global_ai_yearly,CGIAR Platform for Big Data in Agriculture,Global Aridity Index Yearly,image,"aridity index, geospatial modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ARIDITY-INDEX
projects/sat-io/open-datasets/global_ai/global_ai_monthly,CGIAR Platform for Big Data in Agriculture,Global Aridity Index Monthly,image_collection,"aridity index, geospatial modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ARIDITY-INDEX
projects/sat-io/open-datasets/global_et0/global_et0_monthly,CGIAR Platform for Big Data in Agriculture,Global Reference Evapotranspiration Monthly,image_collection,"evapotranspiration, geospatial modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ET0
projects/sat-io/open-datasets/global_et0/global_et0_yearly,CGIAR Platform for Big Data in Agriculture,Global Reference Evapotranspiration Yearly,image,"evapotranspiration, geospatial modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ET0
projects/sat-io/open-datasets/global_et0/global_et0_yearly_sd,CGIAR Platform for Big Data in Agriculture,Global Reference Evapotranspiration Yearly SD,image,"evapotranspiration, geospatial modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-ET0
projects/sat-io/open-datasets/global_freshwater_variables/annual_air_temperature_range_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Annual Air Temperature Range Avg- Global Freshwater Variables,image,"annual air temperature, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/annual_sum_of_precipitation_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Annual Sum of precipitation- Global Freshwater Variables,image,"annual sum of precipitation, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/barren_lands_sparse_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Barren Lands Sparse Vegetation- Global Freshwater Variables,image,"Barren Lands Sparse Vegetation, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/catchment_size_sum,"Domisch, S., Amatulli, G., and Jetz, W.",Catchment Size Sum- Global Freshwater Variables,image,"catchment size sum, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/cultivated_and_managed_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Cultivated and Management Vegetation Avg- Global Freshwater Variables,image,"Cultivated and Management Vegetation Avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/deciduous_broadleaf_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Deciduous Broadleaf Trees Avg- Global Freshwater Variables,image,"Deciduous Broadleaf Trees Avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/elevation_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Elevation Average- Global Freshwater Variables,image,"Elevation Average, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/elevation_range,"Domisch, S., Amatulli, G., and Jetz, W.",Elevation Range- Global Freshwater Variables,image,"Elevation Range, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/evergreen_broadleaf_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Evergreen Broadleaf Trees avg- Global Freshwater Variables,image,"Evergreen Broadleaf Trees avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/evergreen_broadleaf_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Evergreen Deciduous Needleleaf Trees avg- Global Freshwater Variables,image,"Evergreen Deciduous Needleleaf Trees avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/herbaceous_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Herbaceous Vegetation avg- Global Freshwater Variables,image,"Evergreen Deciduous Needleleaf Trees avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/mean_annual_air_temperature_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Mean annual air temperature avg- Global Freshwater Variables,image,"Mean annual air temperature avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/mixed_other_trees_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Mixed other trees avg- Global Freshwater Variables,image,"Mixed other trees avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/open_water_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Open Water avg- Global Freshwater Variables,image,"Open water avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/precambrian_surface_lithology_wsum,"Domisch, S., Amatulli, G., and Jetz, W.",Precambrian Surface Lithology- Global Freshwater Variables,image,"Precambrian Surface Lithology, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/precipitation_seasonality_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Precipitation Seasonality avg- Global Freshwater Variables,image,"Precipitation Seasonality avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/quaternary_surface_lithology_wsum,"Domisch, S., Amatulli, G., and Jetz, W.",Quaternary Surface Lithology wsum- Global Freshwater Variables,image,"Quaternary Surface Lithology wsum, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/regularly_flooded_shrub_herbaceous_vegetation_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Regularly flooded shrub herbaceous vegetation avg- Global Freshwater Variables,image,"Regularly flooded shrub herbaceous vegetation avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/shrubs_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Shrubs avg- Global Freshwater Variables,image,"Shrubs avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/slope_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Slope Avg- Global Freshwater Variables,image,"Slope avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/slope_range,"Domisch, S., Amatulli, G., and Jetz, W.",Slope Range- Global Freshwater Variables,image,"Slope range, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/snow-ice_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Snow ice avg- Global Freshwater Variables,image,"Snow ice avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/stream_length_sum,"Domisch, S., Amatulli, G., and Jetz, W.",Stream length sum- Global Freshwater Variables,image,"Stream length sum, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_freshwater_variables/urban_builtup_avg,"Domisch, S., Amatulli, G., and Jetz, W.",Urban Builtup Avg- Global Freshwater Variables,image,"Urban Builtup Avg, EarthEnv, global freshwater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-FRESHWATER-VARIABLES
projects/sat-io/open-datasets/global_consensus_landcover/barren,"Domisch, S., Amatulli, G., and Jetz, W.",Barren- Global Consensus Landcover,image,"Barren, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/cultivated_and_managed_vegetation,"Domisch, S., Amatulli, G., and Jetz, W.",Cultivated and managed vegetation- Global Consensus Landcover,image,"Cultivated and managed vegetation, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/deciduous_broadleaf_trees,"Domisch, S., Amatulli, G., and Jetz, W.",Deciduous Broadleaf Trees- Global Consensus Landcover,image,"Deciduous Broadleaf trees, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/evergreen-deciduous_needleleaf_trees,"Domisch, S., Amatulli, G., and Jetz, W.",Evergreen deciduous needleleaf trees- Global Consensus Landcover,image,"Evergreen deciduous needleleaf trees, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/evergreen_broadleaf_trees,"Domisch, S., Amatulli, G., and Jetz, W.",Evergreen broadleaf trees- Global Consensus Landcover,image,"Evergreen broadleaf trees, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/herbaceous_vegetation,"Domisch, S., Amatulli, G., and Jetz, W.",Herbaceous vegetation- Global Consensus Landcover,image,"Herbaceous vegetation, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/mixed-other_trees,"Domisch, S., Amatulli, G., and Jetz, W.",Mixed other trees- Global Consensus Landcover,image,"Mixed other trees, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/open_water,"Domisch, S., Amatulli, G., and Jetz, W.",Open water- Global Consensus Landcover,image,"Open water, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/regularly_flooded_vegetation,"Domisch, S., Amatulli, G., and Jetz, W.",Regularly_flooded_vegetation- Global Consensus Landcover,image,"Regularly_flooded_vegetation, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/shrubs,"Domisch, S., Amatulli, G., and Jetz, W.",Shrubs- Global Consensus Landcover,image,"Shrubs, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/snow-ice,"Domisch, S., Amatulli, G., and Jetz, W.",Snow-ice- Global Consensus Landcover,image,"Snow-ice, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_consensus_landcover/urban-built-up,"Domisch, S., Amatulli, G., and Jetz, W.",Urban built up- Global Consensus Landcover,image,"Urban built up, EarthEnv, Global Consensus Landcover",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-CONSENSUS-LANDCOVER
projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Coefficient of variation 1km- Global Habitat Heterogeneity,image,"Coefficient of variation 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Coefficient of variation 5km- Global Habitat Heterogeneity,image,"Coefficient of variation 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Coefficient of variation 25km- Global Habitat Heterogeneity,image,"Coefficient of variation 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Contrast 1km- Global Habitat Heterogeneity,image,"Contrast 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Contrast 5km- Global Habitat Heterogeneity,image,"Contrast 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Contrast 25km- Global Habitat Heterogeneity,image,"Contrast 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Correlation 1km- Global Habitat Heterogeneity,image,"Correlation 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Correlation 5km- Global Habitat Heterogeneity,image,"Correlation 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Correlation 25km- Global Habitat Heterogeneity,image,"Correlation 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Dissimilarity 1km- Global Habitat Heterogeneity,image,"Dissimilarity 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Dissimilarity 5km- Global Habitat Heterogeneity,image,"Dissimilarity 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Dissimilarity 25km- Global Habitat Heterogeneity,image,"Dissimilarity 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Entropy 1km- Global Habitat Heterogeneity,image,"Dissimilarity 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Entropy 5km- Global Habitat Heterogeneity,image,"Dissimilarity 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Entropy 25km- Global Habitat Heterogeneity,image,"Dissimilarity 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Homogeneity 1km- Global Habitat Heterogeneity,image,"Homogeneity 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Homogeneity 5km- Global Habitat Heterogeneity,image,"Homogeneity 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Homogeneity 25km- Global Habitat Heterogeneity,image,"Homogeneity 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Maximum 1km- Global Habitat Heterogeneity,image,"Maximum 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Maximum 5km- Global Habitat Heterogeneity,image,"Maximum 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Maximum 25km- Global Habitat Heterogeneity,image,"Maximum 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Mean 1km- Global Habitat Heterogeneity,image,"Mean 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Mean 5km- Global Habitat Heterogeneity,image,"Mean 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Mean 25km- Global Habitat Heterogeneity,image,"Mean 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Pielou 1km- Global Habitat Heterogeneity,image,"Pielou 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Pielou 5km- Global Habitat Heterogeneity,image,"Pielou 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Pielou 25km- Global Habitat Heterogeneity,image,"Pielou 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/range_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Range 1km- Global Habitat Heterogeneity,image,"Range 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/range_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Range 5km- Global Habitat Heterogeneity,image,"Range 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/range_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Range 25km- Global Habitat Heterogeneity,image,"Range 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Shannon 1km- Global Habitat Heterogeneity,image,"Shannon 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Shannon 5km- Global Habitat Heterogeneity,image,"Shannon 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Shannon 25km- Global Habitat Heterogeneity,image,"Shannon 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Simpson 1km- Global Habitat Heterogeneity,image,"Simpson 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Simpson 5km- Global Habitat Heterogeneity,image,"Simpson 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Simpson 25km- Global Habitat Heterogeneity,image,"Simpson 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Standard Deviation 1km- Global Habitat Heterogeneity,image,"Standard Deviation 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Standard Deviation 5km- Global Habitat Heterogeneity,image,"Standard Deviation 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Standard Deviation 25km- Global Habitat Heterogeneity,image,"Standard Deviation 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Uniformity 1km- Global Habitat Heterogeneity,image,"Uniformity 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Uniformity 5km- Global Habitat Heterogeneity,image,"Uniformity 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Uniformity 25km- Global Habitat Heterogeneity,image,"Uniformity 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_1km,"Domisch, S., Amatulli, G., and Jetz, W.",Variance 1km- Global Habitat Heterogeneity,image,"Variance 1km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_5km,"Domisch, S., Amatulli, G., and Jetz, W.",Variance 5km- Global Habitat Heterogeneity,image,"Variance 5km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_25km,"Domisch, S., Amatulli, G., and Jetz, W.",Variance 25km- Global Habitat Heterogeneity,image,"Variance 25km, EarthEnv, Global Habitat Heterogeneity",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:earthenv-bd-ecosystems-clim-layers/GLOBAL-HABITAT-HETEROGENEITY
users/celsohlsj/public/secondary_forest_age_collection5_v3,Celso H. L. Silva Junior,Secondary Forest Age: Collection5_v3,image,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE
users/celsohlsj/public/secondary_forest_extent_collection5_v3,Celso H. L. Silva Junior,Secondary Forest Extent: Collection5_v3,image,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE
users/celsohlsj/public/secondary_forest_increment_collection5_v3,Celso H. L. Silva Junior,Secondary Forest Increment: Collection5_v3,image,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE
users/celsohlsj/public/secondary_forest_loss_collection5_v3,Celso H. L. Silva Junior,Secondary Forest Loss: Collection5_v3,image,"Deforestation, MapBiomas, Climate Change, Forest Restoration, Carbon Sequestration",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/BRAZIL-SECONDARY-FOREST-AGE
projects/sat-io/open-datasets/global-fire-atlas/day_of_burn,Niels Andela,Global Fire Atlas: Day of Burn,image_collection,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/fire_direction,Niels Andela,Global Fire Atlas: Fire Direction,image_collection,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/fire_line,Niels Andela,Global Fire Atlas: Fire Line,image_collection,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/fire_speed,Niels Andela,Global Fire Atlas: Fire Speed,image_collection,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2003,Niels Andela,Global Fire Atlas: ignitions_2003,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2004,Niels Andela,Global Fire Atlas: ignitions_2004,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2005,Niels Andela,Global Fire Atlas: ignitions_2005,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2006,Niels Andela,Global Fire Atlas: ignitions_2006,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2007,Niels Andela,Global Fire Atlas: ignitions_2007,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2008,Niels Andela,Global Fire Atlas: ignitions_2008,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2009,Niels Andela,Global Fire Atlas: ignitions_2009,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2010,Niels Andela,Global Fire Atlas: ignitions_2010,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2011,Niels Andela,Global Fire Atlas: ignitions_2011,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2012,Niels Andela,Global Fire Atlas: ignitions_2012,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2013,Niels Andela,Global Fire Atlas: ignitions_2013,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2014,Niels Andela,Global Fire Atlas: ignitions_2014,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2015,Niels Andela,Global Fire Atlas: ignitions_2015,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/ignitions/Global_fire_atlas_V1_ignitions_2016,Niels Andela,Global Fire Atlas: ignitions_2016,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2003,Niels Andela,Global Fire Atlas: perimeter_2003,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2004,Niels Andela,Global Fire Atlas: perimeter_2004,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2005,Niels Andela,Global Fire Atlas: perimeter_2005,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2006,Niels Andela,Global Fire Atlas: perimeter_2006,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2007,Niels Andela,Global Fire Atlas: perimeter_2007,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2008,Niels Andela,Global Fire Atlas: perimeter_2008,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2009,Niels Andela,Global Fire Atlas: perimeter_2009,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2010,Niels Andela,Global Fire Atlas: perimeter_2010,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2011,Niels Andela,Global Fire Atlas: perimeter_2011,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2012,Niels Andela,Global Fire Atlas: perimeter_2012,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2013,Niels Andela,Global Fire Atlas: perimeter_2013,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2014,Niels Andela,Global Fire Atlas: perimeter_2014,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2015,Niels Andela,Global Fire Atlas: perimeter_2015,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
projects/sat-io/open-datasets/global-fire-atlas/perimeter/Global_fire_atlas_V1_perimeter_2016,Niels Andela,Global Fire Atlas: perimeter_2016,table,"Human Dimensions, Natural Hazards, Wild Fires, Burned Area, Biosphere, Ecological Dynamics, Fire Ecology, Fire Dynamics, Fire Occurrence",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-FIRE-ATLAS
users/deepakna/global_irrigation_maps,Deepak Nagaraj,Global irrigation areas (2001 to 2015),image_collection,"Global irrigation, agriculture, water sustainability, machine learning",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-IRRIGATION-AREAS
projects/sat-io/open-datasets/polaris/bd_mean,USGS,Polaris 30m Probabilistic Soil Properties: Bulk Density,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Bulk Density",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/clay_mean,USGS,Polaris 30m Probabilistic Soil Properties: Clay Percentage,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Clay Percentage",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/sand_mean,USGS,Polaris 30m Probabilistic Soil Properties: Sand Percentage,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Sand Percentage",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/silt_mean,USGS,Polaris 30m Probabilistic Soil Properties: Silt Percentage,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Silt Percentage",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/om_mean,USGS,Polaris 30m Probabilistic Soil Properties: Organic Matter,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Organic Matter",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/ph_mean,USGS,Polaris 30m Probabilistic Soil Properties: soil pH in H20,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, Soil pH",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/theta_s_mean,USGS,Polaris 30m Probabilistic Soil Properties: saturated soil water content,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, saturated soil, theta s",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/theta_r_mean,USGS,Polaris 30m Probabilistic Soil Properties: residual water content,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, residual soil, theta r",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/ksat_mean,USGS,Polaris 30m Probabilistic Soil Properties: saturated hydraulic conductivity,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, hydraulic conductivity, ksat",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/n_mean,USGS,Polaris 30m Probabilistic Soil Properties: pore size distribution,image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, pore size, n",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/lambda_mean,USGS,Polaris 30m Probabilistic Soil Properties: pore size distribution index (brooks corey),image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, pore size distribution, lambda",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/alpha_mean,USGS,Polaris 30m Probabilistic Soil Properties: scale parameter inversely proportional to mean pore diameter (van genuchten),image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, pore diameter, alpha",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
projects/sat-io/open-datasets/polaris/hb_mean,USGS,Polaris 30m Probabilistic Soil Properties: bubbling pressure (brooks corey),image_collection,"Digital soil mapping, Soil, Environmental modeling, High performance computing, bubbling pressure, hb",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/POLARIS-PROBABILISTIC-SOIL-PROPERTIES-30
users/geocis/BareSurfaces/BS_1980_2019,"Demattê, José AM, et al, Geotechnologies in Soil Science Group",Bare Surface Layer 1980-2019,image,"Bare Earth Surface, Soil, Geomorphology, Landsat, Bare Surface Frequency",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/BARE_EARTH_SPECTRA
users/geocis/BareSurfaces/BF_1980_2019,"Demattê, José AM, et al, Geotechnologies in Soil Science Group",Bare Surface Frequency 1980-2019,image,"Bare Earth Surface, Soil, Geomorphology, Landsat, Bare Surface Frequency",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/BARE_EARTH_SPECTRA
projects/sat-io/open-datasets/landcover/oil-palm-plantation-1984_2017,"Olga Danylo, et al, International Institute for Applied Systems Analysis","Oil Palm Plantation (Indonesia, Malaysia, Thailand) 1984-2017",image_collection,"Oil palm plantations, Indonesia, Malaysia, Thailand, Landsat, Sentinel-1",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/OIL-PALM-PLANTATION-LAYERS
projects/sat-io/open-datasets/landcover/SA_NLC_2018,"Department of Forestry, Fisheries and the Environment, Republic of South Africa",South African National Land Cover 2018,image,"land use, South Africa, land cover, Sentinel-2, copernicus, sentinel, satellite",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/SOUTH-AFRICA-LULC
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_ppt,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from individual AOGCMs: Total Precipitation monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_tave,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from individual AOGCMs: Average Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_tmax,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from individual AOGCMs: Maximum Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_tmin,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from individual AOGCMs: Minimum Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_ppt,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from AOGCM Ensemble: Total Precipitation monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_tave,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from AOGCM Ensemble: Average Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_tmax,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from AOGCM Ensemble: Maximum Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_tmin,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from AOGCM Ensemble: Minimum Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_ppt,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Climate Normals: Total Precipitation monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_tave,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Climate Normals: Average Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_tmax,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Climate Normals: Maximum Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_tmin,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Climate Normals: Minimum Temperature monthly,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-SCENARIOS
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Normals_bioclim,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Climate Normals: Bioclimatic Variables,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-BIOCLIMATIC
projects/sat-io/open-datasets/CMIP6-scenarios-NA/AOGCM-ensemble_bioclim,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from AOGCM Ensemble: Bioclimatic Variables,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-BIOCLIMATIC
projects/sat-io/open-datasets/CMIP6-scenarios-NA/Climate-Models_bioclim,"AdaptWest Project, Wang, T., A. Hamann, D. Spittlehouse, C. Carroll",Projections from individual AOGCM models: Bioclimatic Variables,image_collection,"climate change, global circulation models, gridded climate data, north america,emission scenarios,climate variables,precipitation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/CMIP6-CURRENT-FUTURE-BIOCLIMATIC
projects/sat-io/open-datasets/landcover/ESRI_Global-LULC_10m,"Impact Observatory for Esri, Dynamic World Project by National Geographic Society in partnership with Google and the World Resources Institute",ESRI Global Land Use Land Cover from Sentinel-2,image_collection,"landcover, landuse, lulc, 10m, global, world, sentinel, sentinel 2, impact observatory, deep learning",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESRI-LULC-2020
users/kkraoj/lfm-mapper/lfmc_col_25_may_2021,"KrishnaRao, A. ParkWilliams, Jacqueline Fortin Flefil, Alexandra G.Konings",Vegetation dryness for western USA,image_collection,"vegetation, dryness, drought, wildfire, USA, live fuel moisture content",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/VEGETATION-DRYNESS-WESTERN-US
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM0,William & Mary geoLab,High Precision Single Country Unstandardized(HPSCU)- ADM0,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM1,William & Mary geoLab,High Precision Single Country Unstandardized(HPSCU)- ADM1,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM2,William & Mary geoLab,High Precision Single Country Unstandardized(HPSCU)- ADM2,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM3,William & Mary geoLab,High Precision Single Country Unstandardized(HPSCU)- ADM3,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCU-ADM4,William & Mary geoLab,High Precision Single Country Unstandardized(HPSCU)- ADM4,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM0,William & Mary geoLab,High Precision Single Country Globally Standardized(HPSCGS)- ADM0,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM1,William & Mary geoLab,High Precision Single Country Globally Standardized(HPSCGS)- ADM1,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM2,William & Mary geoLab,High Precision Single Country Globally Standardized(HPSCGS)- ADM2,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM3,William & Mary geoLab,High Precision Single Country Globally Standardized(HPSCGS)- ADM3,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM4,William & Mary geoLab,High Precision Single Country Globally Standardized(HPSCGS)- ADM4,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM0,William & Mary geoLab,Simplified Single Country Unstandardized(SSCU)- ADM0,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM1,William & Mary geoLab,Simplified Single Country Unstandardized(SSCU)- ADM1,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM2,William & Mary geoLab,Simplified Single Country Unstandardized(SSCU)- ADM2,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM3,William & Mary geoLab,Simplified Single Country Unstandardized(SSCU)- ADM3,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCU-ADM4,William & Mary geoLab,Simplified Single Country Unstandardized(SSCU)- ADM4,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM0,William & Mary geoLab,Simplified Single Country Globally Standardized(SSCGS)- ADM0,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM1,William & Mary geoLab,Simplified Single Country Globally Standardized(SSCGS)- ADM1,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM2,William & Mary geoLab,Simplified Single Country Globally Standardized(SSCGS)- ADM2,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM3,William & Mary geoLab,Simplified Single Country Globally Standardized(SSCGS)- ADM3,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/SSCGS-ADM4,William & Mary geoLab,Simplified Single Country Globally Standardized(SSCGS)- ADM4,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/CGAZ_ADM0,William & Mary geoLab,Comprehensive Global Administrative Zones(CGAZ)- ADM0,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/CGAZ_ADM1,William & Mary geoLab,Comprehensive Global Administrative Zones(CGAZ)- ADM1,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/geoboundaries/CGAZ_ADM2,William & Mary geoLab,Comprehensive Global Administrative Zones(CGAZ)- ADM2,table,"Metadata, Political Geography, Open Data, Built Structures, Physical Mapping",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GEOBOUNDARIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/air-density,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)",Global Wind Atlas: Air Density,image_collection,"Wind, energy, ruggedness index, capacity factor, wind speed, power density",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/capacity-factor,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)",Global Wind Atlas: Capacity Factor,image_collection,"Wind, energy, ruggedness index, capacity factor, wind speed, power density",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/power-density,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)",Global Wind Atlas: Power Density,image_collection,"Wind, energy, ruggedness index, capacity factor, wind speed, power density",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/wind-speed,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)",Global Wind Atlas: Wind Speed,image_collection,"Wind, energy, ruggedness index, capacity factor, wind speed, power density",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/global_wind_atlas/ruggedness-index,"Global Wind Atlas, Department of Wind Energy at the Technical University of Denmark (DTU Wind Energy) and the World Bank Group (consisting of The World Bank and the International Finance Corporation, or IFC)",Global Wind Atlas: Ruggedness Index,image,"Wind, energy, ruggedness index, capacity factor, wind speed, power density",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-WIND-ATLAS
projects/sat-io/open-datasets/landcover/oil_palm_industrial_smallholder_2019,Adrià Descals et al 2021,High Resolution Smallholder & Industrial Closed Canopy Oil Palm plantations,image_collection,"industrial, smallholder, oil palm, deep learning, global, remote sensing, Sentinel-1, Sentinel-2, convolutional neural network",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/GLOBAL-INDUSTRIAL-SMALLHOLDER-OIL-PALM
projects/sat-io/open-datasets/SFI/global_cement_database_20210701,McCarten et al 2021,Global Database of Cement Production Assets,table,"GeoAsset Project, Oxford Sustainable Finance Programme, Satellite Applications Catapult, Alan Turing Institute, McCarten et al , cement , Global database",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-CEMENT-PRODUCTION-ASSETS
projects/sat-io/open-datasets/SFI/global_steel_database_20210701,McCarten et al 2021,Global Database of Iron and Steel Production Assets,table,"GeoAsset Project, Oxford Sustainable Finance Programme, Satellite Applications Catapult, Alan Turing Institute, McCarten et al , Iron ,Steel, Global database",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-IRON-STEEL-PRODUCTION-ASSETS
projects/sat-io/open-datasets/global_power_plant_DB_1-3,World Resources Institute,Global Power Plant Database,table,"infrastructure, energy, climate, power, power-plants, wri",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-POWERPLANT-DATABASE
projects/sat-io/open-datasets/network/fixed_tiles/2019-01-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2019-04-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2019-04-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2019-07-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2019-07-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2019-10-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2019-10-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2020-01-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2020-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2020-04-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2020-04-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2020-07-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2020-07-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2020-10-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2020-10-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2021-01-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2021-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2021-04-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2021-04-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2021-07-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2021-07-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2021-10-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2021-10-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2022-01-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2022-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2022-04-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2022-04-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2022-07-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2022-07-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/fixed_tiles/2022-10-01_performance_fixed_tiles,Ookla,Global fixed Network Performance Maps: 2022-10-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2019-01-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2019-04-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2019-07-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2019-10-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2020-01-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2020-04-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2020-07-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2020-10-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2021-01-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2021-04-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2021-07-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2021-10-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2022-01-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2022-04-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2022-07-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/mobile_tiles/2022-10-01_performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps: 2019-01-01,table,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERFORMANCE
projects/sat-io/open-datasets/network/raster_tiles/performance_fixed_tiles,Ookla,Global fixed Network Performance Maps Raster Tiles,image_collection,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERF-RASTER
projects/sat-io/open-datasets/network/raster_tiles/performance_mobile_tiles,Ookla,Global Mobile Network Performance Maps Raster Tiles,image_collection,"analytics,broadband,cities,civic,infrastructure,internet,network traffic, telecommunications,tiles",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-FIXED-MOBILE-NETWORK-PERF-RASTER
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/caco3,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: caco3,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/cec,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: cec,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/cec_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: cec_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ec,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ec,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ec_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ec_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ph,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ph,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/ph_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ph_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/sar,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: sar,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/som,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: som,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/chemical/som_max,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: som_max,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/hydrologic_group,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: hydrologic_group,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/kw_025,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: kw_025,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/lcc_i,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: lcc_i,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/lcc_ni,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: lcc_ni,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/resdept,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: resdept,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/soil_depth,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: soil_depth,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/soil_order,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: soil_order,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/soil_temp_regime,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: soil_temp_regime,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/survey_type,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: survey_type,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/wind_erodibility_group,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: wind_erodibility_group,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/land_use/wind_erodibility_index,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: wind_erodibility_index,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/bulk_density,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: bulk_density,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/clay,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: clay,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/clay_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: clay_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/drainage_class,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: drainage_class,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_05,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ksat_05,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_max,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ksat_max,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_mean,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ksat_mean,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/ksat_min,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: ksat_min,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/rf_025,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: rf_025,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/sand,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: sand,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/sand_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: sand_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/silt,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: silt,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/silt_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: silt_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/soil_texture_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: soil_texture_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/water_storage,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: water_storage,image,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/physical/water_storage_profile,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: water_storage_profile,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/CSRL_soil_properties/soil_color,California Soil Resource Lab at UC Davis and UC-ANR in collaboration with the USDA Natural Resources Conservation Service,Soil 800m Grid: soil_color,image_collection,"Soil grid, USDA, CSRL, UCANR,USDA, Soil, Coarse",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/CRSL-SOIL-PROPERTIES-800
projects/sat-io/open-datasets/WSF/WSF_2015,"Marconcini, et al",World Settlement Footprint (2015),image_collection,"World Settlement Footprint, Settlement Extent, Urbanization, Earth Observation, Remote Sensing, Sentinel-1, Landsat-8",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/WORLD-SETTLEMENT-FOOTPRINT
projects/sat-io/open-datasets/WSF/WSF_2019,"Marconcini, et al",World Settlement Footprint (2019),image_collection,"World Settlement Footprint, Settlement Extent, Urbanization, Earth Observation, Remote Sensing, Sentinel-1, Landsat-8",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/WORLD-SETTLEMENT-FOOTPRINT
projects/sat-io/open-datasets/WSF/WSF_EVO,"Marconcini, et al",World Settlement Footprint Evolution (1985-2015),image_collection,"World Settlement Footprint, Settlement Extent, Urbanization, Earth Observation, Remote Sensing, Sentinel-1, Landsat-8",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/WORLD-SETTLEMENT-FOOTPRINT
projects/sat-io/open-datasets/WSF/WSF_EVO_IDC,"Marconcini, et al",World Settlement Footprint Evolution (1985-2015): Input Data Consistency Score (IDC),image_collection,"World Settlement Footprint, Settlement Extent, Urbanization, Earth Observation, Remote Sensing, Sentinel-1, Landsat-8, IDC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/WORLD-SETTLEMENT-FOOTPRINT-IDC
projects/sat-io/open-datasets/GOODD/GOOD2_catchments,"Mulligan, Mark, Arnout van Soesbergen, and Leonardo Saenz",Global georeferenced Database of Dams(GOODD): Catchments,table,"Global dams, global catchments, vector, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-GEOREF-DATABASE-DAMS
projects/sat-io/open-datasets/GOODD/GOOD2_dams,"Mulligan, Mark, Arnout van Soesbergen, and Leonardo Saenz",Global georeferenced Database of Dams(GOODD): Dams,table,"Global dams, global catchments, vector, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-GEOREF-DATABASE-DAMS
projects/sat-io/open-datasets/global_offshore_wind_turbine_v1-3,"Zhang, T., Tian, B., Sengupta, D. et al",Global offshore wind turbine dataset v1.3,table,"Offshore energy systems, Coastal engineering, Google Earth Engine Platform, Ocean engineering, Marine planning, Coastal management, Sentinel-1",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-OFFSHORE-WIND-TURBINES
projects/sat-io/open-datasets/argo-subset,"International Argo Program, Global Data Assembly Centre",Argo Float Data(Subset),table,"float, Argo, global ocean observing system, ocean circulation, in-situ, ocean pressure, sea water salinity, sea water temperature, multi-year, weather climate and seasonal observation, global-ocean",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/ARGOFLOAT-SUBSET
projects/sat-io/open-datasets/GISA_1972_2019,"Xin Huang, Jiayi Li, Jie Yang, Zhen Zhang, Dongrui Li, & Xiaoping Liu",Global Impervious Surface Area (1972-2019),image_collection,"Landsat, Urban, Google Earth Engine, Impervious area, Urban expansion",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-IMPERVIOUS-SURFACE-AREA
projects/sat-io/open-datasets/global-nematode,Hoogen et al,Soil nematode abundance & functional group composition,table,"nematode,soil ecology,biogeographic studies,soil biotic community",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-NEMATODE-ABUNDANCE
projects/sat-io/open-datasets/gdis_1960-2018,NASA Socioeconomic Data and Applications Center (SEDAC),Geocoded Disasters (GDIS) Dataset (1960 – 2018),table,"droughts,earthquakes,floods,landslides,cyclones,volcanic eruptions",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GEOCODED-DISASTERS-DATASET
projects/sat-io/open-datasets/agtile/AgTile-US,"Valayamkunnath, P., Barlage, M., Chen, F. et al.",Tile Drained Croplands (30m),image,"Agriculture,Tile Drainage,Subsurface,USA,CONUS,GIS,30 meter,data,gridded,raster",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-TILE-DRAINED-CROPLANDS
projects/sat-io/open-datasets/global_tillage_production,Yang Su et al.,Global crop production tillage practices,table,"Conservation agriculture, Conventional tillage, crop yield, No tillage, No-till",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-CROP-PRODUCTION-TILLAGE-PRACTICES
projects/sat-io/open-datasets/global_wind_farms_2020,Dunnett et al.,Harmonised global datasets of wind farm locations,table,"solar, wind, energy, renewable",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-WIND-SOLAR-FARMS
projects/sat-io/open-datasets/global_solar_farms_2020,Dunnett et al.,Harmonised global datasets of solar farm locations,table,"solar, wind, energy, renewable",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-WIND-SOLAR-FARMS
projects/sat-io/open-datasets/HydroLakes/lake_poly_v10,"Messager, M. L., Lehner, B., Grill, G., Nedeva, I., & Schmitt, O",HydroLAKES v1.0: Polygons,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROLAKES
projects/sat-io/open-datasets/HydroLakes/lake_points_v10,"Messager, M. L., Lehner, B., Grill, G., Nedeva, I., & Schmitt, O",HydroLAKES v1.0: Polygons,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROLAKES
projects/sat-io/open-datasets/MTBS/burned_area_boundaries,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS) and the USDA Forest Service Geospatial Technology and Applications Center (GTAC),Monitoring Trends in Burn Severity 1984-2019: Burned area boundaries,table,"burned area, fire occurrence, fire area, burn severity,MTBS, EROS, GTAC, USGS, USDA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MONITORING-TRENDS-BURN-SEVERITY
projects/sat-io/open-datasets/MTBS/fire_occurrence,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS) and the USDA Forest Service Geospatial Technology and Applications Center (GTAC),Monitoring Trends in Burn Severity 1984-2019: Fire Occurrence,table,"burned area, fire occurrence, fire area, burn severity,MTBS, EROS, GTAC, USGS, USDA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MONITORING-TRENDS-BURN-SEVERITY
projects/sat-io/open-datasets/LCMAP/LCACHG,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: LCACHG,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS, LCACHG",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/LCPCONF,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: LCPCONF,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS, LCPCONF",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/LCPRI,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: LCPRI,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/LCSCONF,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: LCSCONF,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/LCSEC,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: LCSEC,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/SCLAST,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: SCLAST,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/SCMAG,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: SCMAG,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/SCMQA,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: SCMQA,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/SCSTAB,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: SCSTAB,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/SCTIME,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP v1.3: SCTIME,image_collection,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP
projects/sat-io/open-datasets/LCMAP/LCMAP_CU_20200414_V01_REF,U.S. Geological Survey Center for Earth Resources Observation and Science (EROS),LCMAP Reference Dataset,table,"Landsat, ARD, Land Cover, Spectral Change, USGS, EROS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/LCMAP-REFERENCE
projects/sat-io/open-datasets/NWI/wetlands/AK_Wetlands,U.S. Fish and Wildlife Service,NWI_AK_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AK_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/AL_Wetlands,U.S. Fish and Wildlife Service,NWI_AL_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AL_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/AR_Wetlands,U.S. Fish and Wildlife Service,NWI_AR_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AR_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/AZ_Wetlands,U.S. Fish and Wildlife Service,NWI_AZ_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/CA_Wetlands,U.S. Fish and Wildlife Service,NWI_CA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/CO_Wetlands,U.S. Fish and Wildlife Service,NWI_CO_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/CT_Wetlands,U.S. Fish and Wildlife Service,NWI_CT_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CT_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/DE_Wetlands,U.S. Fish and Wildlife Service,NWI_DE_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,DE_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/FL_Wetlands,U.S. Fish and Wildlife Service,NWI_FL_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/GA_Wetlands,U.S. Fish and Wildlife Service,NWI_GA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/HI_Wetlands,U.S. Fish and Wildlife Service,NWI_HI_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,HI_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/IA_Wetlands,U.S. Fish and Wildlife Service,NWI_IA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/ID_Wetlands,U.S. Fish and Wildlife Service,NWI_ID_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/IL_Wetlands,U.S. Fish and Wildlife Service,NWI_IL_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/IN_Wetlands,U.S. Fish and Wildlife Service,NWI_IN_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/KS_Wetlands,U.S. Fish and Wildlife Service,NWI_KS_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/KY_Wetlands,U.S. Fish and Wildlife Service,NWI_KY_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/LA_Wetlands,U.S. Fish and Wildlife Service,NWI_LA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,LA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/MA_Wetlands,U.S. Fish and Wildlife Service,NWI_MA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/MD_Wetlands,U.S. Fish and Wildlife Service,NWI_MD_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MD_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/ME_Wetlands,U.S. Fish and Wildlife Service,NWI_ME_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ME_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/MI_Wetlands,U.S. Fish and Wildlife Service,NWI_MI_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/MN_Wetlands,U.S. Fish and Wildlife Service,NWI_MN_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/MO_Wetlands,U.S. Fish and Wildlife Service,NWI_MO_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/MS_Wetlands,U.S. Fish and Wildlife Service,NWI_MS_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/MT_Wetlands,U.S. Fish and Wildlife Service,NWI_MT_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/NC_Wetlands,U.S. Fish and Wildlife Service,NWI_NC_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/ND_Wetlands,U.S. Fish and Wildlife Service,NWI_ND_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/NE_Wetlands,U.S. Fish and Wildlife Service,NWI_NE_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/NH_Wetlands,U.S. Fish and Wildlife Service,NWI_NH_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NH_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/NJ_Wetlands,U.S. Fish and Wildlife Service,NWI_NJ_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NJ_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/NM_Wetlands,U.S. Fish and Wildlife Service,NWI_NM_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/NV_Wetlands,U.S. Fish and Wildlife Service,NWI_NV_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/NY_Wetlands,U.S. Fish and Wildlife Service,NWI_NY_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NY_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/OH_Wetlands,U.S. Fish and Wildlife Service,NWI_OH_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/OK_Wetlands,U.S. Fish and Wildlife Service,NWI_OK_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/OR_Wetlands,U.S. Fish and Wildlife Service,NWI_OR_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OR_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/PA_Wetlands,U.S. Fish and Wildlife Service,NWI_PA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,PA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/RI_Wetlands,U.S. Fish and Wildlife Service,NWI_RI_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,RI_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/SC_Wetlands,U.S. Fish and Wildlife Service,NWI_SC_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/SD_Wetlands,U.S. Fish and Wildlife Service,NWI_SD_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/TN_Wetlands,U.S. Fish and Wildlife Service,NWI_TN_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TN_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/TX_Wetlands,U.S. Fish and Wildlife Service,NWI_TX_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/UT_Wetlands,U.S. Fish and Wildlife Service,NWI_UT_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/VA_Wetlands,U.S. Fish and Wildlife Service,NWI_VA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/VT_Wetlands,U.S. Fish and Wildlife Service,NWI_VT_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VT_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/WA_Wetlands,U.S. Fish and Wildlife Service,NWI_WA_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WA_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/WI_Wetlands,U.S. Fish and Wildlife Service,NWI_WI_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/WV_Wetlands,U.S. Fish and Wildlife Service,NWI_WV_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WV_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wetlands/WY_Wetlands,U.S. Fish and Wildlife Service,NWI_WY_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/FL_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_FL_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/GA_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_GA_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/IL_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_IL_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/IN_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_IN_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/KY_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_KY_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/MI_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_MI_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/MN_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_MN_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/MO_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_MO_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/MS_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_MS_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/NC_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_NC_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/NE_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_NE_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/OH_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_OH_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/SC_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_SC_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/SD_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_SD_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/TX_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_TX_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/historic_wetlands/WI_Historic_Wetlands,U.S. Fish and Wildlife Service,NWI_WI_Historic_Wetlands,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Historic_Wetlands",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/FL_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_FL_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/GA_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_GA_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/IA_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_IA_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/IL_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_IL_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/IN_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_IN_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/KY_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_KY_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/MI_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MI_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/MN_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MN_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/MO_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MO_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/MS_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MS_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/NC_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NC_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/OH_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_OH_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/SC_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_SC_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/SD_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_SD_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/TX_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_TX_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hwpm/WI_Historic_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_WI_Historic_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Historic_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/AK_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_AK_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AK_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/AL_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_AL_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AL_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/AR_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_AR_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AR_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/AZ_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_AZ_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/CA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_CA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/CO_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_CO_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/CT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_CT_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CT_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/DE_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_DE_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,DE_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/FL_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_FL_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/GA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_GA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/IA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_IA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/ID_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_ID_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/IL_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_IL_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/IN_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_IN_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/KS_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_KS_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/KY_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_KY_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/LA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_LA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,LA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/MA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_MA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/MD_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_MD_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MD_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/ME_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_ME_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ME_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/MI_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_MI_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/MN_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_MN_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/MO_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_MO_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/MS_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_MS_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/MT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_MT_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/NC_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_NC_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/ND_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_ND_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/NH_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_NH_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NH_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/NJ_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_NJ_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NJ_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/NM_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_NM_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/NV_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_NV_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/NY_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_NY_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NY_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/OH_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_OH_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/OK_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_OK_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/OR_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_OR_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OR_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/PA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_PA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,PA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/RI_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_RI_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,RI_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/SC_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_SC_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/SD_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_SD_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/TN_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_TN_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TN_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/TX_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_TX_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/UT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_UT_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/VA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_VA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/VT_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_VT_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VT_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/WA_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_WA_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WA_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/WI_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_WI_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/WV_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_WV_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WV_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/hmi/WY_Wetlands_Historic_Map_Info,U.S. Fish and Wildlife Service,NWI_WY_Wetlands_Historic_Map_Info,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Wetlands_Historic_Map_Info",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/AZ_Riparian,U.S. Fish and Wildlife Service,NWI_AZ_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/CA_Riparian,U.S. Fish and Wildlife Service,NWI_CA_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/CO_Riparian,U.S. Fish and Wildlife Service,NWI_CO_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/ID_Riparian,U.S. Fish and Wildlife Service,NWI_ID_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/KS_Riparian,U.S. Fish and Wildlife Service,NWI_KS_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/MO_Riparian,U.S. Fish and Wildlife Service,NWI_MO_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/MT_Riparian,U.S. Fish and Wildlife Service,NWI_MT_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/ND_Riparian,U.S. Fish and Wildlife Service,NWI_ND_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/NE_Riparian,U.S. Fish and Wildlife Service,NWI_NE_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/NM_Riparian,U.S. Fish and Wildlife Service,NWI_NM_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/NV_Riparian,U.S. Fish and Wildlife Service,NWI_NV_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/OK_Riparian,U.S. Fish and Wildlife Service,NWI_OK_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/SD_Riparian,U.S. Fish and Wildlife Service,NWI_SD_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/TX_Riparian,U.S. Fish and Wildlife Service,NWI_TX_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/UT_Riparian,U.S. Fish and Wildlife Service,NWI_UT_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/riparian/WY_Riparian,U.S. Fish and Wildlife Service,NWI_WY_Riparian,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Riparian",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/AZ_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_AZ_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/CA_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_CA_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/CO_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_CO_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/ID_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_ID_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/KS_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_KS_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/MO_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MO_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/MT_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MT_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/ND_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_ND_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/NE_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NE_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/NM_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NM_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/NV_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NV_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/OK_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_OK_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/SD_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_SD_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/TX_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_TX_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/UT_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_UT_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/rpm/WY_Riparian_Project_Metadata,U.S. Fish and Wildlife Service,NWI_WY_Riparian_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Riparian_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/AK_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_AK_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AK_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/AL_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_AL_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AL_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/AR_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_AR_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AR_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/AZ_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_AZ_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,AZ_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/CA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_CA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/CO_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_CO_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CO_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/CT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_CT_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,CT_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/DE_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_DE_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,DE_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/FL_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_FL_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,FL_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/GA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_GA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,GA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/HI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_HI_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,HI_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/IA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_IA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/ID_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_ID_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ID_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/IL_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_IL_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IL_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/IN_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_IN_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,IN_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/KS_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_KS_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KS_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/KY_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_KY_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,KY_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/LA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_LA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,LA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/MA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/MD_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MD_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MD_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/ME_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_ME_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ME_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/MI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MI_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MI_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/MN_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MN_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MN_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/MO_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MO_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MO_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/MS_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MS_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MS_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/MT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_MT_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,MT_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/NC_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NC_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NC_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/ND_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_ND_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,ND_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/NE_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NE_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NE_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/NH_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NH_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NH_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/NJ_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NJ_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NJ_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/NM_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NM_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NM_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/NV_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NV_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NV_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/NY_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_NY_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,NY_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/OH_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_OH_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OH_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/OK_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_OK_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OK_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/OR_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_OR_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,OR_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/PA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_PA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,PA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/RI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_RI_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,RI_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/SC_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_SC_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SC_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/SD_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_SD_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,SD_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/TN_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_TN_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TN_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/TX_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_TX_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,TX_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/UT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_UT_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,UT_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/VA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_VA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/VT_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_VT_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,VT_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/WA_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_WA_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WA_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/WI_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_WI_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WI_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/WV_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_WV_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WV_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/NWI/wpm/WY_Wetlands_Project_Metadata,U.S. Fish and Wildlife Service,NWI_WY_Wetlands_Project_Metadata,table,"wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service,WY_Wetlands_Project_Metadata",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY
projects/sat-io/open-datasets/native-land/indigenousTerritories,Native Land CA,Native Land (Indigenous Land Maps): Territories,table,"native lands, indigenousTreaties, indigenousLanguages, indigenousTerritories, Indigenous, land rights",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/INDIGENOUS-LAND-MAPS
projects/sat-io/open-datasets/native-land/indigenousLanguages,Native Land CA,Native Land (Indigenous Land Maps): Languages,table,"native lands, indigenousTreaties, indigenousLanguages, indigenousTerritories, Indigenous, land rights",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/INDIGENOUS-LAND-MAPS
projects/sat-io/open-datasets/native-land/indigenousTreaties,Native Land CA,Native Land (Indigenous Land Maps): Treaties,table,"native lands, indigenousTreaties, indigenousLanguages, indigenousTerritories, Indigenous, land rights",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/INDIGENOUS-LAND-MAPS
projects/sat-io/open-datasets/gap-filled-lst/gf_day_1km,"Zhang, Tao; Zhou, Yuyu; Zhu, Zhengyuan; Li, Xiaoma; Asrar, Ghassem",MODIS Gap filled Long-term Land Surface Temperature Daily Daytime,image_collection,"Land Surface Temperature, LST, MODIS, gapfilled",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/MODIS-GAPFILLED-LST-DAILY
projects/sat-io/open-datasets/gap-filled-lst/gf_night_1km,"Zhang, Tao; Zhou, Yuyu; Zhu, Zhengyuan; Li, Xiaoma; Asrar, Ghassem",MODIS Gap filled Long-term Land Surface Temperature Daily Nighttime,image_collection,"Land Surface Temperature, LST, MODIS, gapfilled",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/MODIS-GAPFILLED-LST-DAILY
projects/sat-io/open-datasets/IUCN_HABITAT/iucn_habitatclassification_composite_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Composite: Level 1 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/iucn_habitatclassification_composite_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Composite: Level 2 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2016changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2016: Level 1 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2016changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2016: Level 2 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2017changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2017: Level 1 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2017changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2017: Level 2 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2018changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2018: Level 1 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2018changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2018: Level 2 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2019changemask_lvl1_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2019: Level 1 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/IUCN_HABITAT/changemasks/iucn_habitatclassification_2019changemask_lvl2_ver004,"Jung, M., Dahal, P.R., Butchart, S.H.M. et al.",Global maps of habitat types Changemask 2019: Level 2 v004,image,"Global habitats, Ecosystems, Integrated map, IUCN, Biodiversity, Species",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-HABITAT-TYPES
projects/sat-io/open-datasets/isccp/hxg,International Satellite Cloud Climatology Project,International Satellite Cloud Climatology Project: HXG Cloud Cover,image_collection,"ISCCP, Clouds, International Satellite Cloud Climatology Project, WCRP, World Climate Research Program",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HXG-CLOUD-COVER
users/giswqs/MRB/Major_Transitions_1941_1950,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1950),image,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/giswqs/MRB/Major_Transitions_1941_1960,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1960),image,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/giswqs/MRB/Major_Transitions_1941_1970,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1970),image,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/giswqs/MRB/Major_Transitions_1941_1980,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1980),image,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/giswqs/MRB/Major_Transitions_1941_1990,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1990),image,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/giswqs/MRB/Major_Transitions_1941_2000,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: Transitions (1941-1990),image,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/giswqs/MRB/MRB_Boundary,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: MRB_Boundary,table,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/giswqs/MRB/USGS_Floodplain,Rajib et al 2021,Mississippi River Basin Floodplain Land Use Change: Floodplain,image,"land use, floodplain, Mississippi River Basin, hydrology, river basin, ecysostems",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/MISSISSIPPI-RIVER-BASIN-LUC
users/tjm0042/Hydrafloods_Outputs/TensorFlow_Surface_Water_Model_Mosaic,"Tim Mayer, Kel Markert, Biplov Bhandari, Ate Poortinga, NASA SERVIR",Tensor Flow Hydra Flood Models,image,"Surface Water Mapping, Floods, Deep Learning TensorFlow, SERVIR",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/TENSORFLOW-HYDRA-FLOOD-MODELS
projects/sat-io/open-datasets/global_photovoltaic/predicted_set,Kruitwagen et al,Global Photovoltaics Inventory (2016-2018): Predicted set,table,photovoltaic solar remote sensing geospatial data computer vision,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY
projects/sat-io/open-datasets/global_photovoltaic/cv_polygons,Kruitwagen et al,Global Photovoltaics Inventory (2016-2018): CV polygons,table,photovoltaic solar remote sensing geospatial data computer vision,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY
projects/sat-io/open-datasets/global_photovoltaic/cv_tiles,Kruitwagen et al,Global Photovoltaics Inventory (2016-2018): CV tiles,table,photovoltaic solar remote sensing geospatial data computer vision,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY
projects/sat-io/open-datasets/global_photovoltaic/test_polygons,Kruitwagen et al,Global Photovoltaics Inventory (2016-2018): Test polygons,table,photovoltaic solar remote sensing geospatial data computer vision,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY
projects/sat-io/open-datasets/global_photovoltaic/test_tiles,Kruitwagen et al,Global Photovoltaics Inventory (2016-2018): Test tiles,table,photovoltaic solar remote sensing geospatial data computer vision,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY
projects/sat-io/open-datasets/global_photovoltaic/trn_tiles,Kruitwagen et al,Global Photovoltaics Inventory (2016-2018): Trn tiles,table,photovoltaic solar remote sensing geospatial data computer vision,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY
projects/sat-io/open-datasets/global_photovoltaic/trn_polygons,Kruitwagen et al,Global Photovoltaics Inventory (2016-2018): Trn polygons,table,photovoltaic solar remote sensing geospatial data computer vision,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-PHOTOVOLTAICS-INVENTORY
projects/sat-io/open-datasets/global_solar_atlas/dif_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: DIF,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/dni_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: DNI,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/ele_asl,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: Elevation above sea Level,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/ghi_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: GHI,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/gti_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: GTI,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/opta_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: OPTA,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/pvout_LTAm_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: PVOUT LTAm,image_collection,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/pvout_LTAy_AvgDailyTotals,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: PVOUT LTAy,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/global_solar_atlas/temp_2m_agl,"GSA, ESMAP, Solargis, Worldbank, IFC",Global Solar Atlas Datasets: Temperature at 2m above ground level,image,"Solar, energy, photovoltaic capacity, irradiation, optimally tilted surface, Photovoltaic power potential",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-SOLAR-ATLAS
projects/sat-io/open-datasets/ESA_WorldCover_Input_Quality,"Zanaga et al, ESA WorldCover consortium",ESA WorldCover 10 m 2020 V100 InputQuality,image_collection,"land, cover, land use, land cover, lulc, 10m, global, world, sentinel-1, sentinel 2, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESA-10m-WORLDCOVER-IQ
projects/sat-io/open-datasets/S1GBM/normalized_s1_backscatter_VV,"Bernhard et al, European Space Agency",Normalized Sentinel-1 Global Backscatter Model Land Surface: VV,image_collection,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/S1-GLOBAL-BACKSCATTER
projects/sat-io/open-datasets/S1GBM/normalized_s1_backscatter_VH,"Bernhard et al, European Space Agency",Normalized Sentinel-1 Global Backscatter Model Land Surface: VH,image_collection,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/S1-GLOBAL-BACKSCATTER
projects/sat-io/open-datasets/equi7grid/EQUI7_V14_AF_GEOG_TILE_T1,"Bernhard et al, European Space Agency",Equi7Grid: AF Tile T1,table,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID
projects/sat-io/open-datasets/equi7grid/EQUI7_V14_AN_GEOG_TILE_T1,"Bernhard et al, European Space Agency",Equi7Grid: AN Tile T1,table,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID
projects/sat-io/open-datasets/equi7grid/EQUI7_V14_AS_GEOG_TILE_T1,"Bernhard et al, European Space Agency",Equi7Grid: AS Tile T1,table,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID
projects/sat-io/open-datasets/equi7grid/EQUI7_V14_EU_GEOG_TILE_T1,"Bernhard et al, European Space Agency",Equi7Grid: EU Tile T1,table,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID
projects/sat-io/open-datasets/equi7grid/EQUI7_V14_NA_GEOG_TILE_T1,"Bernhard et al, European Space Agency",Equi7Grid: NA Tile T1,table,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID
projects/sat-io/open-datasets/equi7grid/EQUI7_V14_OC_GEOG_TILE_T1,"Bernhard et al, European Space Agency",Equi7Grid: OC Tile T1,table,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID
projects/sat-io/open-datasets/equi7grid/EQUI7_V14_SA_GEOG_TILE_T1,"Bernhard et al, European Space Agency",Equi7Grid: SA Tile T1,table,"Mosaic, Sentinel-1, Backscatter, Normalized, VV, VH, polarization, S1GBM, European Space Agency, ESA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/EQUI7-GRID
projects/sat-io/open-datasets/global-urban-extents/hindcast_urban_extent," Li, Xuecao, Yuyu Zhou, Mohamad Hejazi, Marshall Wise, Chris Vernon, Gokul Iyer, and Wei Chen",Global urban extents from 1870 to 2100: hindcast_extent,image_collection,"Cellular Automata, Urban sprawl, temporal trend, Nighttime lights, hindcasts, Forecast",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-EXTENTS
projects/sat-io/open-datasets/global-urban-extents/observed_urban_extent," Li, Xuecao, Yuyu Zhou, Mohamad Hejazi, Marshall Wise, Chris Vernon, Gokul Iyer, and Wei Chen",Global urban extents from 1870 to 2100: observed_extent,image_collection,"Cellular Automata, Urban sprawl, temporal trend, Nighttime lights, hindcasts, Forecast",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-EXTENTS
projects/sat-io/open-datasets/global-urban-extents/project_urban_scenarios," Li, Xuecao, Yuyu Zhou, Mohamad Hejazi, Marshall Wise, Chris Vernon, Gokul Iyer, and Wei Chen",Global urban extents from 1870 to 2100: hindcast_extent,image_collection,"Cellular Automata, Urban sprawl, temporal trend, Nighttime lights, hindcasts, Forecast",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-EXTENTS
projects/sat-io/open-datasets/HITISEA/AT,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: AT,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/ESI,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: ESI,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/MRT,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: MRT,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/UTCI,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: UTCI,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/UTCI2,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: UTCI2,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/UTCI3,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: UTCI3,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/HI,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: HI,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/Humidex,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: Humidex,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/WBGT,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: WBGT,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/WBT,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: WBT,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/WCT,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: WCT,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/HITISEA/NET,Yechao Yan; Yangyang Xu; Shuping Yue,High-spatial-resolution Thermal-stress Indices: NET,image_collection,"thermal-stress indices, south and southeast asia, heat index, humidity index, wind chill, apparent temperature",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/HIGHRES-THERMAL-STRESS-INDICES
projects/sat-io/open-datasets/carbon_stocks_ca/ch,Sothe et al 2021,Soil carbon storage in terrestrial ecosystems of Canada: Canopy Height,image_collection,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA
projects/sat-io/open-datasets/carbon_stocks_ca/fc,Sothe et al 2021,Soil carbon storage in terrestrial ecosystems of Canada: Forest Carbon Stock,image_collection,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA
projects/sat-io/open-datasets/carbon_stocks_ca/sc,Sothe et al 2021,Soil carbon storage in terrestrial ecosystems of Canada: Soil Carbon Stock,image_collection,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA
projects/sat-io/open-datasets/carbon_stocks_ca/scc,Sothe et al 2021,Soil carbon storage in terrestrial ecosystems of Canada: Soil Carbon Concentration,image_collection,"soil carbon density, soil carbon stock estimate, soil carbon storage, terrestrial ecosystem models, machine Learning Methods Enabled Predictive Modeling",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/SOIL-CARBON-STOCKS-CANADA
projects/sat-io/open-datasets/CA_FOREST_LC_VLCE2,Hermosilla et al. 2022,High-resolution annual forest land cover maps for Canada's forested ecosystems (1984-2019),image_collection,Land cover; Classification; Machine learning; Land cover change; Landsat; Lidar; ICESat-2,https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-FORESTED-ECOSYSTEM-LC
projects/sat-io/open-datasets/CA_FOREST/DISTANCE2SECOND,Hermosilla et al. 2022,Distance-to-second class for the leading tree species map 2019,image,"Tree species, Forest inventory, Land cover, Landsat, Machine learning, Classification",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-DISTANCE-2-SECOND-CLASS
projects/sat-io/open-datasets/CA_FOREST/SPECIES_CLASS_MEMBERSHIP_PROBABILITIES,Hermosilla et al. 2022,Tree species membership likelihood probability 2019,image_collection,"Tree species, Forest inventory, Land cover, Landsat, Machine learning, Classification",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-SPECIES-CLASS-MEM-PROBABILITIES
projects/sat-io/open-datasets/CA_FOREST/LEAD_TREE_SPECIES,Hermosilla et al. 2022,Leading tree species 2019,image,"Tree species, Forest inventory, Land cover, Landsat, Machine learning, Classification",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-LEAD-TREE-SPECIES
projects/sat-io/open-datasets/global_water_salinity/lakes_reservoirs_database,Thorslund et al,Global Lakes and Reservoirs salinity measurements (1980-2019),table,"electrical conductivity, Salinity, surface water, lakes, reservoirs",https://code.earthengine.google.com/https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-WATER-SALINITY
projects/sat-io/open-datasets/global_water_salinity/rivers_database,Thorslund et al,Global Rivers salinity measurements (1980-2019),table,"electrical conductivity, Salinity, surface water, lakes, reservoirs, rivers",https://code.earthengine.google.com/https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-WATER-SALINITY
projects/sat-io/open-datasets/global_water_salinity/groundwaters_database,Thorslund et al,Global Groundwater salinity measurements (1980-2019),table,"electrical conductivity, Salinity, surface water, lakes, reservoirs, rivers",https://code.earthengine.google.com/https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-WATER-SALINITY
projects/sat-io/open-datasets/us_building_raster/building_avg_area,"Heris et al, NASA, USGS",Rasterized building footprint US: Building Average Area,image,"Building Footprint, Built Environment Density, Land cover, Land use",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US
projects/sat-io/open-datasets/us_building_raster/building_max_area,"Heris et al, NASA, USGS",Rasterized building footprint US: Building Max Area,image,"Building Footprint, Built Environment Density, Land cover, Land use",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US
projects/sat-io/open-datasets/us_building_raster/building_min_area,"Heris et al, NASA, USGS",Rasterized building footprint US: Building Min Area,image,"Building Footprint, Built Environment Density, Land cover, Land use",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US
projects/sat-io/open-datasets/us_building_raster/building_total_area,"Heris et al, NASA, USGS",Rasterized building footprint US: Building Total Area,image,"Building Footprint, Built Environment Density, Land cover, Land use",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US
projects/sat-io/open-datasets/us_building_raster/building_total_area,"Heris et al, NASA, USGS",Rasterized building footprint US: Building Count,image,"Building Footprint, Built Environment Density, Land cover, Land use",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US
projects/sat-io/open-datasets/us_building_raster/building_total_area,"Heris et al, NASA, USGS",Rasterized building footprint US: Building Centroid Count,image,"Building Footprint, Built Environment Density, Land cover, Land use",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/RASTERIZED-BUILDING-FOOTPRINT-US
projects/sat-io/open-datasets/Harmonized_NTL/dmsp,Xuecao Li et al,Harmonized Global Night Time Lights (1992-2020): DMSP,image_collection,"DMSP/OLS data, VIIRS, nighttime light, calibration, consistent, global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-GLOBAL-NTL
projects/sat-io/open-datasets/Harmonized_NTL/viirs,Xuecao Li et al,Harmonized Global Night Time Lights (1992-2020): VIIRS,image_collection,"DMSP/OLS data, VIIRS, nighttime light, calibration, consistent, global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/HARMONIZED-GLOBAL-NTL
projects/sat-io/open-datasets/global_soil_salinity,Ivushkin et al,Global Soil Salinity 1986-2016,image_collection,"salinity, digital soil mapping, electrical conductivity, global map, soilgrids, landsat, thermal, salinisation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/GLOBAL-SOIL-SALINITY
projects/sat-io/open-datasets/irrecoverable_carbon/carbon_total,Noon et al,Carbon in Earth’s ecosystems: Irrecoverable total,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/irrecoverable_carbon/carbon_soil,Noon et al,Carbon in Earth’s ecosystems: Irrecoverable soil,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/irrecoverable_carbon/carbon_biomass,Noon et al,Carbon in Earth’s ecosystems: Irrecoverable biomass,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/vulnerable_carbon/carbon_total,Noon et al,Carbon in Earth’s ecosystems: Vulnerable total,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/vulnerable_carbon/carbon_soil,Noon et al,Carbon in Earth’s ecosystems: Vulnerable soil,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/vulnerable_carbon/carbon_biomass,Noon et al,Carbon in Earth’s ecosystems: Vulnerable biomass,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/manageable_carbon/carbon_total,Noon et al,Carbon in Earth’s ecosystems: Manageable total,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/manageable_carbon/carbon_soil,Noon et al,Carbon in Earth’s ecosystems: Manageable soil,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/manageable_carbon/carbon_biomass,Noon et al,Carbon in Earth’s ecosystems: Manageable biomass,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/ecosystem_extent,Noon et al,Carbon in Earth’s ecosystems: Ecosystem Extent,image_collection,"irrecoverable carbon, vulnerable carbon, manageable carbon, global map, ecosystem",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GLOBAL-IRRECOVERABLE-CARBON
projects/sat-io/open-datasets/global_mangrove_distribution/agb,Simard et al,Global Mangrove Distribution: Above Ground Biomass,image_collection,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT
projects/sat-io/open-datasets/global_mangrove_distribution/hba95,Simard et al,Global Mangrove Distribution: Mangrove basal-area weighted height,image_collection,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT
projects/sat-io/open-datasets/global_mangrove_distribution/hmax95,Simard et al,Global Mangrove Distribution: Mangrove canopy maximum height,image_collection,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT
projects/sat-io/open-datasets/global_mangrove_distribution/americas_tree_measurements,Simard et al,Global Mangrove Distribution: In situ mangrove tree measurements Americas,table,"global mangrove, above ground biomass, canopy height, basal-area weighted height, ecosystem, mangroves",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-BIOMASS-HEIGHT
projects/sat-io/open-datasets/MODIS_LT_SNOW/monthly_lt_p90,Hengl 2021,Global snow cover monthly long-term (2000–2012) P90,image_collection,"snow cover, global, openlandmap",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER
projects/sat-io/open-datasets/MODIS_LT_SNOW/monthly_lt_sd,Hengl 2021,Global snow cover monthly long-term (2000–2012) SD,image_collection,"snow cover, global, openlandmap",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER
projects/sat-io/open-datasets/MODIS_LT_SNOW/monthly_snow_quantile,Hengl 2021,"Global snow cover monthly values P05, P50 and P95 (2000-2020)",image_collection,"snow cover, global, openlandmap",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER
projects/sat-io/open-datasets/MODIS_LT_SNOW/midmonth_geom_tmax,Hengl 2021,Global max geometric temperatures for the mid-month,image_collection,"snow cover, global, openlandmap",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER
projects/sat-io/open-datasets/MODIS_LT_SNOW/midmonth_geom_tmin,Hengl 2021,Global min geometric temperatures for the mid-month,image_collection,"snow cover, global, openlandmap",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-MODIS-SNOWCOVER
users/csaybar/rainpe/annual_mean,"Fernandez-Palomino et al 2021, Cesar Aybar",Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Annual mean,image_collection,"precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-YEARLY
users/csaybar/rainpe/monthly_clim,"Fernandez-Palomino et al 2021, Cesar Aybar",Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Monthly Climatology,image_collection,"precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-MONTHLY-CLIM
users/csaybar/rainpe/monthly,"Fernandez-Palomino et al 2021, Cesar Aybar",Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Monthly data,image_collection,"precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-MONTHLY
projects/sat-io/open-datasets/rainpe/daily,"Fernandez-Palomino et al 2021, Cesar Aybar",Gridded precipitation dataset for Peruvian and Ecuadorian watersheds: Daily data,image_collection,"precipitation, streamflow, Peru, Ecuador, random forest, SWAT, reverse hydrology, satellite data, Earth observation, GIS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RAIN4PE-GRIDDED-PRECIP-DAILY
projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/20-CR_surge_reconstruction,"Tadesse, M.G., Wahl, T.",Global Storm Surge Reconstruction (GSSR) database: 20-CR,table,"20-CR, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC
projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/era-20C_surge_reconstruction,"Tadesse, M.G., Wahl, T.",Global Storm Surge Reconstruction (GSSR) database: ERA 20C,table,"ERA-20C, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC
projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/era-Interim_surge_reconstruction,"Tadesse, M.G., Wahl, T.",Global Storm Surge Reconstruction (GSSR) database: ERA interim,table,"ERA-Interim, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC
projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/merra-2_surge_reconstruction,"Tadesse, M.G., Wahl, T.",Global Storm Surge Reconstruction (GSSR) database: MERRA-2,table,"MERAA-2, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC
projects/sat-io/open-datasets/open-ocean/global_storm_surge_reconstruction/era-5_surge_reconstruction,"Tadesse, M.G., Wahl, T.",Global Storm Surge Reconstruction (GSSR) database: ERA 5,table,"ERA-Five, reanalysis, storm-surge, surge-reconstruction, NCEP, extreme-sea-level",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-STORM-SURGE-RC
projects/sat-io/open-datasets/open-ocean/aqualink_top_temp_2020,aqualink org,Aqualink ocean surface temperature subset,table,"aqualink, buoy, temperature, sea surface temperature, sst, wave, oceans, bleaching, coral reefs, extreme-sea-level",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/AQUALINK-SUBSET-2020
projects/sat-io/open-datasets/open-ocean/aqualink_bottom_temp_2020,aqualink org,Aqualink ocean subsurface temperature subset,table,"aqualink, buoy, temperature, sea surface temperature, sst, wave, oceans, bleaching, coral reefs, extreme-sea-level",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/AQUALINK-SUBSET-2020
projects/sat-io/open-datasets/open-ocean/river_plastic_emissions,Ocean Cleanup Foundation,Plastic Inputs from Rivers into Oceans,table,"Pollution, Society, Coral Reefs, SDG 14, Life below Water, Cities, Reefs Water, Oceans Waste, hydrology, waste management, marine plastic",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/PLASTIC-INPUT-RIVERS
users/jaafarhadi/GCN250/GCN250Average,"Hadi H. Jaafar, Farah A. Ahmad, Naji El Beyrouthy",Global Curve Number (GCN250) Average conditions,image,"Curve Number, Runoff, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HYDROLOGIC-CURVE-NUMBER
users/jaafarhadi/GCN250/GCN250Dry,"Hadi H. Jaafar, Farah A. Ahmad, Naji El Beyrouthy",Global Curve Number (GCN250) Dry conditions,image,"Curve Number, Runoff, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HYDROLOGIC-CURVE-NUMBER
users/jaafarhadi/GCN250/GCN250Wet,"Hadi H. Jaafar, Farah A. Ahmad, Naji El Beyrouthy",Global Curve Number (GCN250) Wet conditions,image,"Curve Number, Runoff, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HYDROLOGIC-CURVE-NUMBER
projects/sat-io/open-datasets/sstg,"Mengmeng cao, Kebiao Mao, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, & Zijin Yuan",Global gridded sea surface temperature (SSTG),image_collection,"Sea Surface Temperature, SST, Gridded",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL-GRIDDED-SST
projects/sat-io/open-datasets/GFPLAIN250,"Nardi, F. et al",Global high-resolution floodplains (GFPLAIN250m),image_collection,"Floodplain, Digital Elevation Model (DEM), Terrain analysis, river networks, landscape features",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HIGHRES-FLOODPLAINS
projects/sat-io/open-datasets/GRN/af_river,"Yan, D., Wang, K., Qin, T. et al.",Global river networks: Africa,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/GRN/au_river,"Yan, D., Wang, K., Qin, T. et al.",Global river networks: Australia,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/GRN/as_river,"Yan, D., Wang, K., Qin, T. et al.",Global river networks: Asia,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/GRN/eu_river,"Yan, D., Wang, K., Qin, T. et al.",Global river networks: Europe,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/GRN/na_river,"Yan, D., Wang, K., Qin, T. et al.",Global river networks: North America,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/GRN/sa_river,"Yan, D., Wang, K., Qin, T. et al.",Global river networks: South America,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/WRZ/WRZ_L1,"Yan, D., Wang, K., Qin, T. et al.",Global Water resources zones: L1,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/WRZ/WRZ_L2,"Yan, D., Wang, K., Qin, T. et al.",Global Water resources zones: L2,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/WRZ/WRZ_L3,"Yan, D., Wang, K., Qin, T. et al.",Global Water resources zones: L3,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/WRZ/WRZ_L4,"Yan, D., Wang, K., Qin, T. et al.",Global Water resources zones: L4,table,"River networks, Water Resources, Hydrology",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-NETWORKS-WATER-RESOURCE-ZONES
projects/sat-io/open-datasets/LGHAP/AOD_daily,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: AOD Daily,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/AOD_monthly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: AOD Monthly Average,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/AOD_yearly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: AOD Yearly Average,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/PM25_daily,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: PM2.5 Daily,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/PM25_monthly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: PM2.5 Monthly Average,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/PM25_yearly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: PM2.5 Yearly Average,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/PM10_daily,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: PM10 Daily,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/PM10_monthly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: PM10 Monthly Average,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/LGHAP/PM10_yearly_avg,Kaixu Bai; Ke Li; Zhuo Tan; Di Han; Jianping Guo,Long-term Gap-free High-resolution Air Pollutants: PM10 Yearly Average,image_collection," AOD, PM2.5, PM10, Gap free",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/LONG-TERM-HIGHRES-AIR-POLLUTANTS
projects/sat-io/open-datasets/FABDEM," Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., & Neal, J",FABDEM (Forest And Buildings removed Copernicus 30m DEM),image_collection,"digital elevation model, bare-earth, terrain, remote sensing, machine learning",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/FABDEM
projects/sat-io/open-datasets/GLO-30," European Space Agency, COPERNICUS",Copernicus Digital Elevation Model (GLO-30 DEM),image_collection,"digital elevation model, terrain, remote sensing, esa, copernicus",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/COPERNICUS_GLO30
projects/sat-io/open-datasets/worldpop/africa_F_PRIMARY,WorldPop (University of Southampton),Gridded Sex-Disaggregated School-Age Population: Female Primary,image_collection,"gridded model, population data, school age, disaggregated, worldpop",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE
projects/sat-io/open-datasets/worldpop/africa_F_secondary,WorldPop (University of Southampton),Gridded Sex-Disaggregated School-Age Population: Female Secondary,image_collection,"gridded model, population data, school age, disaggregated, worldpop",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE
projects/sat-io/open-datasets/worldpop/africa_M_PRIMARY,WorldPop (University of Southampton),Gridded Sex-Disaggregated School-Age Population: Male Primary,image_collection,"gridded model, population data, school age, disaggregated, worldpop",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE
projects/sat-io/open-datasets/worldpop/africa_M_secondary,WorldPop (University of Southampton),Gridded Sex-Disaggregated School-Age Population: Male Secondary,image_collection,"gridded model, population data, school age, disaggregated, worldpop",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE
projects/sat-io/open-datasets/worldpop/africa_F_M_PRIMARY,WorldPop (University of Southampton),Gridded Sex-Disaggregated School-Age Population: Female-Male Primary,image_collection,"gridded model, population data, school age, disaggregated, worldpop",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE
projects/sat-io/open-datasets/worldpop/africa_F_M_SECONDARY,WorldPop (University of Southampton),Gridded Sex-Disaggregated School-Age Population: Female-Male Secondary,image_collection,"gridded model, population data, school age, disaggregated, worldpop",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WORLDPOP-GRIDDED-SCHOOL-AGE
projects/sat-io/open-datasets/NOAA/SLR_DEM,NOAA,NOAA Sea-Level Rise Digital Elevation Models,image_collection,"Elevation, topography, topobathymetric, bathymetry, SLR, DEM, sea level rise",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/NOAA-SLR-DEM
projects/sat-io/open-datasets/NOAA/CoNED_TBDEM,"USGS, CMGP, NGP, NOAA and NGDC",CoNED Project -Topobathymetric digital elevation models,image_collection,"Elevation, topography, topobathymetric, bathymetry",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/NOAA-CoNED-TBDEM
projects/sat-io/open-datasets/DEA/landcover_v100,Geoscience Australia and Digital Earth Australia,Digital Earth Australia(DEA) Landsat Land Cover 25m v1.0.0,image_collection,"Australia, land cover, remote sensing, landsat, satellite",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/DEA-LANDSAT-LC
projects/sat-io/open-datasets/ASTER/GDEM,"NASA, METI, AIST, Japan Spacesystems and U.S./Japan ASTER Science Team",ASTER Global Digital Elevation Model (GDEM) v3,image,"ASTER, DEM, elevation, remote sensing",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/ASTER-GDEM
projects/sat-io/open-datasets/ASTER/ASTWBD_ATT,"NASA, METI, AIST, Japan Spacesystems and U.S./Japan ASTER Science Team",ASTER Global Water Bodies Database (ASTWBD) Version 1,image,"ASTER, DEM, elevation, remote sensing, Water Bodies Database",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/ASTWBD
projects/sat-io/open-datasets/TERRACLIMATE/2C/aet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : aet,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/def,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : def,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/pet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : pet,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/ppt,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : ppt,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/soil,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : soil,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/srad,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : srad,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/swe,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : swe,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/tmax,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : tmax,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/tmin,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : tmin,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/vap,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : vap,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/2C/vpd,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +2C : vpd,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/aet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : aet,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/def,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : def,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/pet,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : pet,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/ppt,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : ppt,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/soil,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : soil,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/swe,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : swe,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/tmax,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : tmax,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/tmin,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : tmin,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/TERRACLIMATE/4C/vpd,"Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch",TerraClimate layer commensurate with global mean temperatures +4C : vpd,image_collection,"Climate futures, +2C, +4C, TerraClimate",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/TERRACLIMATE-CLIMATE-FUTURES
projects/sat-io/open-datasets/MODIS_MCD14DL/MCD14DL_2012,"Land, Atmosphere Near real-time Capability for EOS (LANCE) for Fire Information for Resource Management System (FIRMS), NASA",MODIS MCD14ML (standard quality) active fire vector data,table,"Archival fire, MODIS, VIIRS, Daytime, Nigh time, Thermal anomalies, FIRMS, LANCE, NASA, vector",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/ARCHIVAL-NRT-FIRMS-VIIRS-DATA
projects/sat-io/open-datasets/VIIRS/VNP14IMGTDL_NRT_2012,"Land, Atmosphere Near real-time Capability for EOS (LANCE) for Fire Information for Resource Management System (FIRMS), NASA",VIIRS VNP14IMGTDL_NRT active fire vector data,table,"Archival fire, MODIS, VIIRS, Daytime, Nigh time, Thermal anomalies, FIRMS, LANCE, NASA, vector",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/ARCHIVAL-NRT-FIRMS-VIIRS-DATA
projects/sat-io/open-datasets/NHD/NHD_MO/NHDArea,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : NHDArea,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/NHDFlowline,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : NHDFlowline,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/NHDLine,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : NHDLine,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/NHDPoint,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : NHDPoint,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/NHDPointEventFC,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : NHDPointEventFC,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/NHDWaterbody,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : NHDWaterbody,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU10,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDHU10,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU12,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDHU12,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU14,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDHU14,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU2,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDHU2,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU4,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDHU4,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU6,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDHU6,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDHU8,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDHU8,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
projects/sat-io/open-datasets/NHD/NHD_MO/WBDLine,United States Geological Survey (USGS),National Hydrography Dataset(NHD) : WBDLine,table,"Hydrography, Hydrologic, United States, USGS, NHD, National Hydrography Dataset",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-HYDROGRAPHY-DATASET
users/nlang/ETH_GlobalCanopyHeight_2020_10m_v1,"Lang, Nico, Walter Jetz, Konrad Schindler, and Jan Dirk Wegner",ETH_GlobalCanopyHeight_2020_10m_v1,image,"Sentinel-2, Forest, Canopy Height, Machine Learning, CNN",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-10m-CANOPY-HEIGHT
users/nlang/ETH_GlobalCanopyHeightSD_2020_10m_v1,"Lang, Nico, Walter Jetz, Konrad Schindler, and Jan Dirk Wegner",ETH_GlobalCanopyHeightSD_2020_10m_v1,image,"Sentinel-2, Forest, Canopy Height, Machine Learning, CNN",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-10m-CANOPY-HEIGHT
projects/sat-io/open-datasets/forest_carbon_fluxes/gross_emissions,"Harris, N.L., Gibbs, D.A., Baccini, A. et al",Global Forest Carbon Fluxes: Gross Emissions,image,"Carbon emissions, forest change, climate, carbon",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CARBON-FLUXES
projects/sat-io/open-datasets/forest_carbon_fluxes/gross_removals,"Harris, N.L., Gibbs, D.A., Baccini, A. et al",Global Forest Carbon Fluxes: Gross Removals,image,"Carbon emissions, forest change, climate, carbon",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CARBON-FLUXES
projects/sat-io/open-datasets/forest_carbon_fluxes/net_flux,"Harris, N.L., Gibbs, D.A., Baccini, A. et al",Global Forest Carbon Fluxes: Net Flux,image,"Carbon emissions, forest change, climate, carbon",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FOREST-CARBON-FLUXES
projects/ee-landmaelingar/assets/IslandsDEMv1_10m_isn93,National Land Survey of Iceland & PGC,Iceland DEM v1.0 10m,image,"Elevation, DEM, ArticDEM, Iceland, Geophysical",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/ICELAND-DEM-10m
projects/sat-io/open-datasets/GRIDDED_HDI_GDP/GDP_PPP_1990_2015_5arcmin_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.",Gridded GDP PPP 5arcmin v2,image,"Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI
projects/sat-io/open-datasets/GRIDDED_HDI_GDP/GDP_PPP_30arcsec_v3,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.",Gridded GDP PPP 30arcsec v2,image,"Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI
projects/sat-io/open-datasets/GRIDDED_HDI_GDP/GDP_per_capita_PPP_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.",GDP per capita v2,image,"Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI
projects/sat-io/open-datasets/GRIDDED_HDI_GDP/HDI_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.",Gridded HDI v2,image,"Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI
projects/sat-io/open-datasets/GRIDDED_HDI_GDP/admin_areas_GDP_HDI,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.",Administrative area Gridded GDP & HDI,image,"Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI
projects/sat-io/open-datasets/GRIDDED_HDI_GDP/pedigree_GDP_per_capita_PPP_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.",Pedigree GDP per capita 1990-2015 v2,image,"Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI
projects/sat-io/open-datasets/GRIDDED_HDI_GDP/pedigree_HDI_1990_2015_v2,"Kummu, Matti; Taka, Maija; Guillaume, Joseph H. A.",Pedigree HDI per capita 1990-2015 v2,image,"Development indicator, global spatial data, gridded data, Gross Domestic Product (GDP), Human Development Index (HDI), Purchasing Power Parity (PPP)",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-GDP-HDI
projects/sat-io/open-datasets/CISI/global_CISI,"Nirandjan, S., Koks, E.E., Ward, P.J. et al",Critical Infrastructure Spatial Index 2021,image,"Development indicator, global spatial data, gridded data, critical infrastructure, spatial index",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/CRITICAL-INF-SPATIAL-INDEX(CISI)
projects/sat-io/open-datasets/CISI/amount_infrastructure,"Nirandjan, S., Koks, E.E., Ward, P.J. et al",Harmonized Global Critical Infrastructure 2021,image_collection,"Development indicator, global spatial data, gridded data, critical infrastructure, spatial index",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/CRITICAL-INF-SPATIAL-INDEX(CISI)
projects/sat-io/open-datasets/IGN_RGE_Alti_5m,National Institute of Geographic and Forest Information (IGN),DEM France (Continental) 5m IGN RGE Alti,image,"digital elevation model, terrain, remote sensing, France",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:elevation-bathymetry/IGN-RGE-France-DEM-5m
projects/sat-io/open-datasets/MSBuildings/Australia,Microsoft & Bing Maps,Global ML Building Footprints: Australia,table,"building footprint, machine learning, remote sensing, global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-ML-BUILDINGS
projects/sat-io/open-datasets/MSBuildings/Chile,Microsoft & Bing Maps,Global ML Building Footprints: Chile,table,"building footprint, machine learning, remote sensing, global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GLOBAL-ML-BUILDINGS
projects/sat-io/open-datasets/HRLC/urban-watch-cities,Laboratory for Remote Sensing and Environmental Change (LRSEC) at the University of North Carolina,Urban Watch 1m Land Cover & Land Use,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, FLUTE",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/URBAN-WATCH-CITIES
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_AS_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : AS,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-AS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_CA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : CA,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-CA
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_CT_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : CT,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-CT
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_GU_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : GU,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-GU
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_HI_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : HI,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-HI
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_LA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : LA,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-LA
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_MA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : MA,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-MA
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_ME_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : ME,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-ME
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_MP_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : MP,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-MP
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_OH_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : OH,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-OH
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_OR_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : OR,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-OR
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_PR_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : PR,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-PR
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_VI_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : VI,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-VI
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/CCAP_WA_LC,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP High-Resolution Land Cover : WA,image_collection,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-HRLC-WA
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/VT_BaseLC_2016,"University of Vermont Spatial Analysis Laboratory, VT Center for Geographic Information",Vermont High Resolution Land Cover 2016,image,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, OBIA, Vermont",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/VT-BASE-LC-2016
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HRLC/Baywide_13Class_20132014,Conservation Innovation Center at the Chesapeake Conservancy,Chesapeake Bay High Resolution Land Cover Dataset (2013-2014),image,"Land Use, Land Cover, Urban Watch, Remote Sensing, High Resolution, Chesapeake Bay",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CHESEPEAKE_BAY_2013-2014
users/lgutierrezlf/PISCOeo_pm/yearly,Huerta et al 2022,Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Yearly mean data,image_collection,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU
users/lgutierrezlf/PISCOeo_pm/climatology,Huerta et al 2022,Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Monthly climatology data,image_collection,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU
users/lgutierrezlf/PISCOeo_pm/monthly,Huerta et al 2022,Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Monthly data,image_collection,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU
users/lgutierrezlf/PISCOeo_pm/daily,Huerta et al 2022,Reference ET gridded database based on FAO Penman-Monteith for Peru (1981-2016) : Daily data,image_collection,"reference evapotranspiration, FAO Penman Monteith, Peru, hydrology, satellite data, Earth observation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/REFERENCE-ET-GRIDDED-PERU
projects/sat-io/open-datasets/GLOBathy/GLOBathy_bathymetry,"Khazaei, B., Read, L.K., Casali, M. et al.",GLOBathy (Global lakes bathymetry dataset) : Bathymetry,image,"bathymetry and depth, lake systems, reservoir management, Hydrological Modelling, Limnology, Geographic information systems (GIS), Geomorphology, topographic analysis",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBathy
projects/sat-io/open-datasets/GLOBathy/GLOBathy_basic_parameters,"Khazaei, B., Read, L.K., Casali, M. et al.",GLOBathy (Global lakes bathymetry dataset) : GLOBathy Basic Parameters,table,"bathymetry and depth, lake systems, reservoir management, Hydrological Modelling, Limnology, Geographic information systems (GIS), Geomorphology, topographic analysis",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBathy
projects/sat-io/open-datasets/NOAA/conus_ccap_wetland_potential,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP Wetland Potential 30m,image,"Wetland, Coastal data, NOAA, Remote Sensing",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-WETLAND-POTENTIAL
projects/sat-io/open-datasets/NOAA/ccap_10m,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP Medium-Resolution Land Cover - Beta 10m,image_collection,"Land Use, Land Cover, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-LC-BETA
projects/sat-io/open-datasets/NOAA/ccap_30m,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP Medium-Resolution Land Cover - Beta 30m,image_collection,"Land Use, Land Cover, Remote Sensing, High Resolution, OBIA, NOAA",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-LC-BETA
projects/sat-io/open-datasets/NOAA/ccap_30m_impervious,"NOAA's Ocean Service, Office for Coastal Management (OCM)",C-CAP Medium-Resolution Impervious - Beta 30m,image_collection,"Land Use, Land Cover, Remote Sensing, High Resolution, OBIA, NOAA, Impervious",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:regional-landuse-landcover/CCAP-IMPERVIOUS
projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_au_v1_labels,Radiant Earth Foundation,LandCoverNet v1.0 - Australia,image_collection,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1
projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_af_v1_labels,Radiant Earth Foundation,LandCoverNet v1.0 - Africa,image_collection,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1
projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_as_v1_labels,Radiant Earth Foundation,LandCoverNet v1.0 - Asia,image_collection,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1
projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_eu_v1_labels,Radiant Earth Foundation,LandCoverNet v1.0 - Europe,image_collection,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1
projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_na_v1_labels,Radiant Earth Foundation,LandCoverNet v1.0 - North America,image_collection,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1
projects/sat-io/open-datasets/LandCoverNet/LABELS/ref_landcovernet_sa_v1_labels,Radiant Earth Foundation,LandCoverNet v1.0 - South America,image_collection,"Land Use, Land Cover, Remote Sensing, landsat-8, sentinel-1, sentinel-2, segmentation",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/LANDCOVERNET_V1
projects/sat-io/open-datasets/GloRiC/GloRiC_v10,"Ouellet Dallaire, C., Lehner, B., Sayre, R., Thieme, M. & Schmitt, O",Global River Classification (GloRiC),table,"water,hydrology, rivers, discharge, depth, volume, area, gloric",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-CLASSIFICATION(GLORIC)
projects/sat-io/open-datasets/GloRiC/GloRiC_Canada_v10,"Ouellet Dallaire, C., Lehner, B., Sayre, R., Thieme, M. & Schmitt, O",Global River Classification (GloRiC) Canada,table,"water,hydrology, rivers, discharge, depth, volume, area, gloric",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-RIVER-CLASSIFICATION(GLORIC)
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev01,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev01,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev02,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev02,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev03,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev03,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev04,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev04,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev05,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev05,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev06,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev06,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev07,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev07,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev08,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev08,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev09,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev09,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev10,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev10,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev11,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev11,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/BasinAtlas/BasinATLAS_v10_lev12,Linke et al and Lehner et al,HydroATLAS BasinAtlas : BasinATLAS_v10_lev12,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/LakeAtlas/LakeAtlas_v10_point,Linke et al and Lehner et al,HydroATLAS LakeAtlas : LakeAtlas_v10_point,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/LakeAtlas/LakeAtlas_v10_polygon,Linke et al and Lehner et al,HydroATLAS LakeAtlas : LakeAtlas_v10_polygon,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/earthengine-legacy/assets/projects/sat-io/open-datasets/HydroAtlas/RiverAtlas_v10,Linke et al and Lehner et al,HydroATLAS HydroAtlas : RiverAtlas_v10,table,"water,hydrology, lakes, global lake surface, discharge, depth, volume, area, hydrolakes, hydrobasins, hydrorivers",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROATLAS
projects/sat-io/open-datasets/HydroWaste/HydroWASTE_v10,"Ehalt Macedo, H., Lehner, B., Nicell, J., Grill, G., Li, J., Limtong, A., Shakya, R.",HydroWASTE v1.0,table,"water,hydrology, rivers, discharge, depth, volume, area, hydrowaste, wastewater",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROWASTE
projects/sat-io/open-datasets/ReaLSAT/ReaLSAT-1_4,"Khandelwal, A., Karpatne, A., Ravirathinam, P. et al.",RealSAT Global Dataset of Reservoir and Lake Surface Area,table,"water,hydrology, lakes, global lake surface, ReaLSAT, Surface water monitoring, Lakes and reservoirs, Hydrology, Landsat",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/RealSAT-GLOBAL-RESERVOIRS-LAKES
projects/sat-io/open-datasets/global-daily-air-temp/africa,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.",Global Daily near-surface air temperature (2003-2020): Africa,image_collection,"Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP
projects/sat-io/open-datasets/global-daily-air-temp/australia,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.",Global Daily near-surface air temperature (2003-2020): Australia,image_collection,"Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP
projects/sat-io/open-datasets/global-daily-air-temp/europe_asia,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.",Global Daily near-surface air temperature (2003-2020): Eurasia,image_collection,"Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP
projects/sat-io/open-datasets/global-daily-air-temp/north_america,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.",Global Daily near-surface air temperature (2003-2020): North America,image_collection,"Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP
projects/sat-io/open-datasets/global-daily-air-temp/latin_america,"Zhang, T., Zhou, Y., Zhao, K., Zhu, Z., Chen, G., Hu, J., and Wang, L.",Global Daily near-surface air temperature (2003-2020): Latin America,image_collection,"Air Temperature, land surface temperature (LST), SVCM-SP, MODIS, Global",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/GLOBAL-DAILY-NEAR-SURFACE-AIR-TEMP
projects/sat-io/open-datasets/npp-viirs-ntl,"Chen, Zuoqi et al",Global NPP-VIIRS-like nighttime light (2000-2020),image_collection,"Nighttime light, VIIRS, NTL, NPP-VIIRS",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-NPP-VIIRS-LIKE-NTL
projects/sat-io/open-datasets/GABAM,Long Tengfei; Zhang Zhaoming; He Guojin,30m Global Annual Burned Area Maps (GABAM),image_collection,"Global Fire, burned area, GABAM, remote sensing, Earth Engine",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/GLOBAL-ANNUAL-BURNED-AREA-MAPS
projects/sat-io/open-datasets/landcover/ESRI_Global-LULC_10m_TS,"Impact Observatory for Esri, Dynamic World Project by National Geographic Society in partnership with Google and the World Resources Institute",ESRI 10m Annual Land Use Land Cover (2017-2022),image_collection,"landcover, landuse, lulc, 10m, global, world, sentinel, sentinel 2, impact observatory",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/ESRI-LULC-2017-2022
projects/sat-io/open-datasets/NAFD/vct_annual,"Goward, S.N., C. Huang, F. Zhao, K. Schleeweis, K. Rishmawi, M. Lindsey, J.L. Dungan, and A. Michaelis",NAFD Forest Disturbance History 1986-2010: Annual,image_collection,"NAFD, Forest Dynamics, NAFD-NEX, Landsat",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NAFD-FOREST-DISTURBANCE
projects/sat-io/open-datasets/NAFD/VCT_30m_first,"Goward, S.N., C. Huang, F. Zhao, K. Schleeweis, K. Rishmawi, M. Lindsey, J.L. Dungan, and A. Michaelis",NAFD Forest Disturbance History 1986-2010 time integrated: First,image,"NAFD, Forest Dynamics, NAFD-NEX, Landsat",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NAFD-FOREST-DISTURBANCE
projects/sat-io/open-datasets/NAFD/VCT_30m_last,"Goward, S.N., C. Huang, F. Zhao, K. Schleeweis, K. Rishmawi, M. Lindsey, J.L. Dungan, and A. Michaelis",NAFD Forest Disturbance History 1986-2010 time integrated: Last,image,"NAFD, Forest Dynamics, NAFD-NEX, Landsat",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/NAFD-FOREST-DISTURBANCE
projects/sat-io/open-datasets/global_fertilizer_use_centroid,"Ludemann, Cameron; Gruere, Armelle; Heffer, Patrick; Dobermann, Achim",Global Fertilizer Use by crop & country,table,"Global fertilizer use, agriculture, FAO, crop",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-FERTILIZER-USE-CROP-COUNTRY
projects/sat-io/open-datasets/global-monoculture-plantations,"Bukoski, Jacob et al 2022",Aboveground carbon accumulation in global monoculture plantation forests,table,"Forests, Aboveground carbon stocks, Climate change, Reforestation, Plantations, Aboveground biomass",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/ABOVEGROUND-CARBON-GLOBAL-MONOCULTURE
projects/sat-io/open-datasets/FROM-GLC10,"Chen, B., B. Xu, Z. Zhu, C. Yuan, H. Ping Suen, J. Guo, N. Xu, W. Li, Y. Zhao, and J. J. S. B. Yang.",Finer Resolution Observation and Monitoring of Global Land Cover 10m (FROM-GLC10),image_collection,"landcover, landuse, lulc, 10m, global, world, sentinel 2, FROM-GLC",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLC10
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/gpp_yearly/GPP_v21_2020,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_YEARLY-GPP_V21_2020,image,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/shaded_yearly/Shade_GPP_v21_2020,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): SHADED_YEARLY-SHADE_GPP_V21_2020,image,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/sunlit_yearly/Sun_GPP_v21_2020,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): SUNLIT_YEARLY-SUN_GPP_V21_2020,image,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/gpp_monthly,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-GPP_MONTHLY,image_collection,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/shaded_monthly,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SHADED_MONTHLY,image_collection,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/sunlit_monthly,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SUNLIT_MONTHLY,image_collection,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/gpp_8day,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-GPP_8DAY,image_collection,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/shaded_8day,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SHADED_8DAY,image_collection,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/GPP_SUNLIT_SHADED/sunlit_8day,"Wenjun, Bi; Yanlian, Zhou et al",Global Sunlit and Shaded GPP for vegetation canopies (1992-2020): GPP_SUNLIT_SHADED-SUNLIT_8DAY,image_collection,"carbon flux, global changes, long-time series, shaded GPP, sunlit GPP",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/GLOBAL-SUNLIT-SHADED-GPP-VEG-CANOPIES
projects/sat-io/open-datasets/ORNL/LANDSCAN_GLOBAL,Oakridge National Laboratory,LANDSCAN GLOBAL,image_collection,"Global Population, Population count, Diurnal population, remote sensing, machine learning",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-GLOBAL
projects/sat-io/open-datasets/ORNL/LANDSCAN_USA_DAY,Oakridge National Laboratory,LANDSCAN USA DAY,image_collection,"Global Population, Population count, Diurnal population, remote sensing, machine learning",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-USA
projects/sat-io/open-datasets/ORNL/LANDSCAN_USA_NIGHT,Oakridge National Laboratory,LANDSCAN USA NIGHT,image_collection,"Global Population, Population count, Diurnal population, remote sensing, machine learning",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-USA
projects/sat-io/open-datasets/ORNL/LANDSCAN_HD,Oakridge National Laboratory,LANDSCAN HD,image_collection,"Global Population, Population count, Diurnal population, remote sensing, machine learning",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/LANDSCAN-HD
projects/sat-io/open-datasets/cloudsen12/high,Cesar Aybar et al 2022,CloudSEN12 High Quality labels,image_collection,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-HIGH-QUALITY
projects/sat-io/open-datasets/cloudsen12/scribble,Cesar Aybar et al 2022,CloudSEN12 Scribble labels,image_collection,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-SCRIBBLE-QUALITY
projects/sat-io/open-datasets/cloudsen12/nolabel,Cesar Aybar et al 2022,CloudSEN12 No labels,image_collection,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-NO_LABELS
projects/sat-io/open-datasets/cloudsen12/footprint,Cesar Aybar et al 2022,CloudSEN12 Image Patch Footprints,table,"cloud, deep learning, Sentinel-2, Sentinel-1, U-Net",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/CloudSEN12-FOOTPRINT
projects/sat-io/open-datasets/GRIDDED_EC,"Chen, J., Gao, M., Cheng, S. et al 2022",GRIDDED Electricity Consumption,image_collection,"GDP, Electricity Consumption, Night Lights",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GRIDDED-ELECTRICITY-CONSUMPTION
projects/sat-io/open-datasets/GRIDDED_EC-GDP,"Chen, J., Gao, M., Cheng, S. et al 2022",GRIDDED GDP based on Electricity Consumption,image_collection,"GDP, Electricity Consumption, Night Lights",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GRIDDED-ELECTRICITY-CONSUMPTION-GDP
projects/sat-io/open-datasets/CA_FOREST/GEDI_forest_canopy_height_250m_v1,"Sothe,Camile, et al. 2022",Canopy height: forested ecosystems of Canada GEDI,image,"LiDAR analysis, ICESat-2, GEDI, canopy height distribution, Carbon storage and distribution",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-TREE-CANOPY-HEIGHT-GEDI
projects/sat-io/open-datasets/CA_FOREST/ICESat2_forest_canopy_height_250m_v1,"Sothe,Camile, et al. 2022",Canopy height: forested ecosystems of Canada ICESat-2,image,"LiDAR analysis, ICESat-2, GEDI, canopy height distribution, Carbon storage and distribution",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/CA-TREE-CANOPY-HEIGHT-ICESAT
projects/sat-io/open-datasets/tallo_database,"Jucker, Tommaso, et al. 2022",Global tree allometry and crown architecture (Tallo) database,table,"stem diameter, tree height, crown size, tree allometry, tree architecture, forest biomass, remote sensing",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/TREE-ALLOMETRY-CROWN-ARCH-DATABASE
projects/sat-io/open-datasets/USFS/national-forest-type,USDA Forest Service-Forest Inventory and Analysis (FIA) Program & Geospatial Technology and Applications Center (GTAC),US National Forest Type,image_collection,"forest type, forest group, forest, remote sensing",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-NATIONAL-FOREST-TYPE
projects/sat-io/open-datasets/USFS/national-forest-group,USDA Forest Service-Forest Inventory and Analysis (FIA) Program & Geospatial Technology and Applications Center (GTAC),US National Forest Group,image_collection,"forest type, forest group, forest, remote sensing",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/US-NATIONAL-FOREST-GROUP
projects/sat-io/open-datasets/FUTURE-URBAN-LAND/CHEN_2020_2100,Chen et al 2020,Global urban projections under SSPs (2020-2100) Chen 2020,image_collection,"urban, SSPs, urban projection, temporal models",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-SCENARIO-PROJECTIONS
projects/sat-io/open-datasets/FUTURE-URBAN-LAND/GAO_2020_2100,Gao et al 2020,Global urban projections under SSPs (2020-2100) Gao 2020,image_collection,"urban, SSPs, urban projection, temporal models",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-URBAN-SCENARIO-PROJECTIONS
projects/sat-io/open-datasets/MAXAR-OPENDATA/afghanistan_earthquake_2022,MAXAR,MAXAR Open Data Multispectral: Afghanistan earthquake 2022,image_collection,"disaster, maxar, high resolution, Earthquake",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS
projects/sat-io/open-datasets/MAXAR-OPENDATA/gambia_flooding_2022,MAXAR,MAXAR Open Data Multispectral: Gambia flooding 2022,image_collection,"disaster, maxar, high resolution, flooding",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS
projects/sat-io/open-datasets/MAXAR-OPENDATA/hurricane_fiona_2022,MAXAR,MAXAR Open Data Multispectral: Hurricane Fiona 2022,image_collection,"disaster, maxar, high resolution, hurriance",https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-events-layers/MAXAR-OPENDATA-MS