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community_datasets.json
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[
{
"title": "Global Shoreline Dataset",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES",
"type": "table",
"id": "projects/sat-io/open-datasets/shoreline/mainlands",
"provider": "United States Geological Survey, USGS",
"tags": "Global Shoreline, Shoreline, mainlands, Oceans"
},
{
"title": "Global Shoreline Dataset",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES",
"type": "table",
"id": "projects/sat-io/open-datasets/shoreline/big_islands",
"provider": "United States Geological Survey, USGS",
"tags": "Global Shoreline, Shoreline, big islands, Oceans"
},
{
"title": "Global Shoreline Dataset Small Islands",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:oceans-shorelines/GLOBAL_SHORELINES",
"type": "table",
"id": "projects/sat-io/open-datasets/shoreline/small_islands",
"provider": "United States Geological Survey, USGS",
"tags": "Global Shoreline, Shoreline, small islands, Oceans"
},
{
"title": "OSM Water Layer Surface Waters",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/OSM-WATER-SURFACE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/OSM_waterLayer",
"provider": "Institute of Industrial Sciences, Open Street Map, OSM",
"tags": "Global water layer, Open Street Map, OSM, Surface Water"
},
{
"title": "Global 30m Height Above the Nearest Drainage with Number of River head threshold cells 100",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE",
"type": "image_collection",
"id": "users/gena/global-hand/hand-100",
"provider": "Gennaddi Donchyts, Deltares",
"tags": "Global Hand, Hydrology, drainage, hand"
},
{
"title": "Global 30m Height Above the Nearest Drainage with Number of River head threshold cells 1000",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE",
"type": "image",
"id": "users/gena/GlobalHAND/30m/hand-1000",
"provider": "Gennaddi Donchyts, Deltares",
"tags": "Global Hand, Hydrology, drainage, hand"
},
{
"title": "Global 90m Height Above the Nearest Drainage with Number of River head threshold cells 1000",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/GLOBAL-HEIGHT-ABV-NEAREST-DRAINAGE",
"type": "image",
"id": "users/gena/GlobalHAND/90m-global/hand-1000",
"provider": "Gennaddi Donchyts, Deltares",
"tags": "Global Hand, Hydrology, drainage, hand"
},
{
"title": "Global Mangrove Watch v3 Change-change_f1996 : Raster",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/GMW/change/change_f1996",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2007_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2007_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2008_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2008_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2009_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2009_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2010_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2010_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2015_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2015_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2016_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2016_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2017_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2017_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2018_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2018_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2019_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2019_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Change-gmw_v3_f1996_t2020_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/change/gmw_v3_f1996_t2020_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Core-gmw_v3_core_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/core/gmw_v3_core_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Core-gmw_v3_mng_core : Raster",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "image",
"id": "projects/sat-io/open-datasets/GMW/core/gmw_v3_mng_core",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3 : Raster",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/GMW/extent/GMW_V3",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_1996_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_1996_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2007_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2007_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2008_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2008_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2009_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2009_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2010_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2010_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2015_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2015_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2016_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2016_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2017_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2017_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2018_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2018_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2019_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2019_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Extent-gmw_v3_2020_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/extent/gmw_v3_2020_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Gmw-gmw_v3_tiles : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/gmw_v3_tiles",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Union-gmw_v3_mng_union : Raster",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "image",
"id": "projects/sat-io/open-datasets/GMW/union/gmw_v3_mng_union",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Global Mangrove Watch v3 Union-gmw_v3_union_vec : Vector",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-MANGROVE-WATCH",
"type": "table",
"id": "projects/sat-io/open-datasets/GMW/union/gmw_v3_union_vec",
"provider": "Global Mangrove Watch, Aberystwyth University, solo Earth Observation, Wetlands Institute, International Water Management Institute, UN Environment World Conservation Monitoring Center",
"tags": "Global, Mangrove, GMW"
},
{
"title": "Cloud Forest Prediction",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_CloudForestPrediction",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, cloud forest prediction, MODIS, Global Cloud"
},
{
"title": "Mean between-year seasonality",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_interannualSD",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, mean, seasonality, between year, MODIS, Global Cloud"
},
{
"title": "Within-year seasonality",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_intraannualSD",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, seasonality, within year, MODIS, Global Cloud"
},
{
"title": "Mean annual cloud frequency",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_meanannual",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, cloud frequency, annual, MODIS, Global Cloud"
},
{
"title": "Mean monthly cloud frequency",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/gcc/MODCF_monthlymean",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, cloud frequency, monthly, MODIS, Global Cloud"
},
{
"title": "Seasonality concentration and angle (theta)",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_seasonality_rgb",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, cloud concentration, seasonality, angle, MODIS,Global Cloud"
},
{
"title": "Timing of peak seasonal cloud concentration",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_seasonality_theta",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, cloud concentration, seasonality, MODIS, Global Cloud"
},
{
"title": "Seasonality single band with color table",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_seasonality_visct",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, cloud concentration, seasonality, MODIS, Global Cloud"
},
{
"title": "Spatial variability (1 degree SD)",
"sample_code": "https://earthenv-dot-map-of-life.appspot.com/4/20.650/15.675?collections=cloud&layers=Seasonality",
"type": "image",
"id": "projects/sat-io/open-datasets/gcc/MODCF_spatialSD_1deg",
"provider": "Earthenv, Wilson AM, Jetz W",
"tags": "Earthenv, spatial variability, seasonality, MODIS, Global Cloud"
},
{
"title": "Bulk density of the fine earth fraction",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/bdod_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, bulk density, ISRIC"
},
{
"title": "Cation Exchange Capacity of the soil",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/cec_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, Cation Exchange Capacity, ISRIC"
},
{
"title": "Volumetric fraction of coarse fragments",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/cfvo_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid,Volumetric fraction, coarse fragments, ISRIC"
},
{
"title": "Proportion of clay particles (lt 0.002 mm) in the fine earth fraction",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/clay_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, clay, ISRIC"
},
{
"title": "Total nitrogen",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/nitrogen_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, Nitrogen, ISRIC"
},
{
"title": "Soil pH",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/phh2o_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, ph, ISRIC"
},
{
"title": "Proportion of sand particles (gt 0.05 mm) in the fine earth fraction",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/sand_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, Sand, ISRIC"
},
{
"title": "Proportion of silt particles (gte 0.002 mm and lte 0.05 mm) in the fine earth fraction",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/silt_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, Silt, ISRIC"
},
{
"title": "Soil organic carbon content in the fine earth fraction",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/soc_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, Organic carbon content, ISRIC"
},
{
"title": "Organic carbon density",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/ocd_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, Organic carbon density, ISRIC"
},
{
"title": "Organic carbon stocks",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:soil-properties/ISRIC-SOIL-GRID-250",
"type": "image",
"id": "projects/soilgrids-isric/ocs_mean",
"provider": "International Soil Reference and Information Centre (ISRIC)",
"tags": "Global Soilgrid, Organic carbon stocks, ISRIC"
},
{
"title": "High Resolution Settlement Layer: Overall Population",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/hrsl/hrslpop",
"provider": "Center for International Earth Science Information Network(CIESIN), Facebook",
"tags": "High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian"
},
{
"title": "High Resolution Settlement Layer: Men",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/hrsl/hrsl_men",
"provider": "Center for International Earth Science Information Network(CIESIN), Facebook",
"tags": "High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian"
},
{
"title": "High Resolution Settlement Layer: Women",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/hrsl/hrsl_women",
"provider": "Center for International Earth Science Information Network(CIESIN), Facebook",
"tags": "High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, women"
},
{
"title": "High Resolution Settlement Layer: Youth",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/hrsl/hrsl_youth",
"provider": "Center for International Earth Science Information Network(CIESIN), Facebook",
"tags": "High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, youth"
},
{
"title": "High Resolution Settlement Layer: Children under five",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/hrsl/hrsl_children_under_five",
"provider": "Center for International Earth Science Information Network(CIESIN), Facebook",
"tags": "High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, children"
},
{
"title": "High Resolution Settlement Layer: Women of reproductive age",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/hrsl/hrsl_women_reproductive_age",
"provider": "Center for International Earth Science Information Network(CIESIN), Facebook",
"tags": "High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, women, reproductive"
},
{
"title": "High Resolution Settlement Layer: Elderly over sixty",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/FACEBOOK-HRSL-30m",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/hrsl/hrsl_elderly_over_sixty",
"provider": "Center for International Earth Science Information Network(CIESIN), Facebook",
"tags": "High Resolution Settlement Layer, Facebook, population, CIESIN, humanitarian, elderly"
},
{
"title": "Mapbiomas: Final Integrated Land Use Land Cover Maps",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image",
"id": "projects/mapbiomas-workspace/public/collection7/mapbiomas_collection70_integration_v2",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon"
},
{
"title": "Mapbiomas: Maps of transition areas (change in coverage or use) between selected years",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image",
"id": "projects/mapbiomas-workspace/public/collection7/mapbiomas_collection70_transitions_v3",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition"
},
{
"title": "Mapbiomas: Maps of quality (change in coverage or use) between selected years",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image",
"id": "projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_quality_v1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition"
},
{
"title": "Mapbiomas: Maps of irrigated agriculture",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image",
"id": "projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_irrigated_agriculture_v1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Transition"
},
{
"title": "Mapbiomas: Mosaic tiles of Landsat Images for each year of Collection 7",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/nexgenmap/MapBiomas2/LANDSAT/BRAZIL/mosaics-2",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of Mined substances Collection 6",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_mined_substance_v1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of Pasture quality Collection 6",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_pasture_quality_v1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of Annual water coverage Collection 6",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection6/mapbiomas-water-collection1-annual-water-coverage-1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of Annual water frequency Collection 6",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection6/mapbiomas-water-collection1-water-frequency-1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of annual burned coverage Collection 7",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection7/mapbiomas-fire-collection1-1-annual-burned-coverage-1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of monthly burned coverage Collection 7",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection7/mapbiomas-fire-collection1-1-monthly-burned-coverage-1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of fire frequency Collection 7",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection7/mapbiomas-fire-collection1-1-fire-frequency-1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Mapbiomas: Maps of Deforestation Regeneration Collection 6",
"sample_code": "https://code.earthengine.google.com/3d07ce796edba49bcd2cf18931dff541?accept_repo=users%2Fmapbiomas%2Fuser-toolkit",
"type": "image_collection",
"id": "projects/mapbiomas-workspace/public/collection6/mapbiomas_collection60_deforestation_regeneration_v1",
"provider": "MapBiomas,Greenhouse Gas Emissions Estimation System (SEEG)",
"tags": "Mapbiomas, Land Use, Land Cover, Brazil,Amazon, Landsat, Mosaic"
},
{
"title": "Global Mining Polygons",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-AND-VALIDATION",
"type": "table",
"id": "projects/sat-io/open-datasets/global-mining/global_mining_polygons",
"provider": "FINEPRINT project, European Research Council, European Union's Horizon 2020",
"tags": "Mining, High Resolution, Global, coal, land-use, metal ores, minerals, raw material extraction"
},
{
"title": "Global Mining Validation Points",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-MINING-AND-VALIDATION",
"type": "table",
"id": "projects/sat-io/open-datasets/global-mining/global_mining_validation",
"provider": "FINEPRINT project, European Research Council, European Union's Horizon 2020",
"tags": "Mining, High Resolution, Global, coal, land-use, metal ores, minerals, raw material extraction"
},
{
"title": "Predicted Distribution and Transmission Lines",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS",
"type": "table",
"id": "projects/sat-io/open-datasets/predictive-global-power-system/distribution-transmission-lines",
"provider": "C. Arderne, C. Zorn, C. Nicolas & E. E. Koks",
"tags": "Global transmission lines, electricity, infrastructure, power"
},
{
"title": "Predicted low-voltage infrastructure in kilometres per cell",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS",
"type": "image",
"id": "projects/sat-io/open-datasets/predictive-global-power-system/lv",
"provider": "C. Arderne, C. Zorn, C. Nicolas & E. E. Koks ",
"tags": "Global transmission lines, electricity, infrastructure, power"
},
{
"title": "Locations predicted to be connected to distribution grid",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/PREDICTED-GLOBAL-POWER-SYSTEMS",
"type": "table",
"id": "projects/sat-io/open-datasets/predictive-global-power-system/targets",
"provider": "C. Arderne, C. Zorn, C. Nicolas & E. E. Koks",
"tags": "Global transmission lines, electricity, infrastructure, power"
},
{
"title": "GRIP4: Africa",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT",
"type": "table",
"id": "projects/sat-io/open-datasets/GRIP4/Africa",
"provider": "Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",
"tags": "global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios"
},
{
"title": "GRIP4: Central and South America",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT",
"type": "table",
"id": "projects/sat-io/open-datasets/GRIP4/Central-South-America",
"provider": "Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",
"tags": "global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios"
},
{
"title": "GRIP4: Europe",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT",
"type": "table",
"id": "projects/sat-io/open-datasets/GRIP4/Europe",
"provider": "Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",
"tags": "global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios"
},
{
"title": "GRIP4: North America",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT",
"type": "table",
"id": "projects/sat-io/open-datasets/GRIP4/North-America",
"provider": "Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",
"tags": "global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios"
},
{
"title": "GRIP4: Oceania",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT",
"type": "table",
"id": "projects/sat-io/open-datasets/GRIP4/Oceania",
"provider": "Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",
"tags": "global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios"
},
{
"title": "GRIP4: South East Asia",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT",
"type": "table",
"id": "projects/sat-io/open-datasets/GRIP4/South-East-Asia",
"provider": "Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",
"tags": "global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios"
},
{
"title": "GRIP4: Middle East and Central Asia",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-ROADS-INVENTORY-PROJECT",
"type": "table",
"id": "projects/sat-io/open-datasets/GRIP4/Middle-East-Central-Asia",
"provider": "Global Biodiversity Model for Policy Support, GLOBIO, PBL Netherlands Environmental Assessment Agency",
"tags": "global, road map, infrastructure, global roads inventory project (GRIP), SSP scenarios"
},
{
"title": "Geomorpho90m Geomorphological forms: Geomorphon",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-GEOMORPHOLOGICAL-FORMS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/geom",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: Slope",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/slope",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: Aspect",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/aspect",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: Aspect cosine",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/aspect-cosine",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: Aspect sine",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/aspect-sine",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: eastness",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/eastness",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: northness",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/northness",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: convergence",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/convergence",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: spi",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/spi",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: cti",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/cti",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: dx",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/dx",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m First order derivatives: dy",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-FIRST-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/dy",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Second order derivatives: dxx",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/dxx",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Second order derivatives: dxy",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/dxy",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Second order derivatives: dyy",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/dyy",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Second order derivatives: pcurv",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/pcurv",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Second order derivatives: tcurv",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-SECOND-ORDER-DERIVATIVE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/tcurv",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: elev-stdev",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/elev-stdev",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: vrm",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/vrm",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: roughness",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/roughness",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: tri",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/tri",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: tpi",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/tpi",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: dev-magnitude",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/dev-magnitude",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: dev-scale",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/dev-scale",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: rough-magnitude",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/rough-magnitude",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Geomorpho90m Ruggedeness: rough-scale",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:geophysical-biological-biogeochemical/GEOMORPHO90-RUGGEDENESS",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/Geomorpho90m/rough-scale",
"provider": "Yale University, Coillte, Irish State Forestry Board, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, European Commission - Joint Research Centre, Spatial Ecology",
"tags": "Geomorpho90m, geomorphometric layers, MERIT DEM, topographic index, terrain ruggedness index, cti, global, topography, MERIT, SRTM, ALOS, DEM, terrain, shuttle, radar"
},
{
"title": "Gridded Population of the World, Version 4 (GPWv4): Administrative Unit Center Points with Population Estimates",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/GPW-v4",
"type": "table",
"id": "projects/sat-io/open-datasets/sedac/gpw-v4-admin-unit-center-points-population-estimates-rev11",
"provider": "NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)",
"tags": "census geography, GPWv4, gridded population, uniform distribution, CIESIN, SEDAC"
},
{
"title": "West Africa Coastal Vulnerability Mapping: Population Exposure Index (PEI)",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN",
"type": "image",
"id": "projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-pei",
"provider": "NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)",
"tags": "West Africa, Exposure Index, Population, CIESIN, SEDAC, PEI"
},
{
"title": "West Africa Coastal Vulnerability Mapping: Poverty and Adaptive Capacity Index (PACI)",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN",
"type": "image",
"id": "projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-paci",
"provider": "NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)",
"tags": "West Africa, Poverty and Adaptive Capacity Index, PACI, Poverty, Capacity, Population, CIESIN, SEDAC"
},
{
"title": "West Africa Coastal Vulnerability Mapping: Social Vulnerability Index (SVI)",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:population-socioeconomics/WEST_AFRICA-COASTAL-VULN",
"type": "image",
"id": "projects/sat-io/open-datasets/sedac/wacvm-social-vulnerability-indices-svi",
"provider": "NASA Socioeconomic Data and Applications Center (SEDAC), Center for International Earth Science Information Network (CIESIN)",
"tags": "West Africa, Social Vulnerability Index, SVI, Population, CIESIN, SEDAC"
},
{
"title": "Vegetation Condition Class (VCC) LF v2.0.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/fire-regime/vcc",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"
},
{
"title": "Vegetation Departure Index (VDep) LF v2.0.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/fire-regime/vdep",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"
},
{
"title": "Succession Classes (SClass) LF v2.0.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FIRE-REGIME",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/fire-regime/sclass",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"
},
{
"title": "Fuel Disturbance (FDist) LF v2.2.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/disturbance/FDIST",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"
},
{
"title": "Historical Disturbance (HDist) LF v2.2.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/disturbance/HDIST",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"
},
{
"title": "Disturbance Year (DistYear) LF v2.2.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-DISTURBANCE",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/disturbance/DISTYEAR",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"
},
{
"title": "Forest Canopy Height (CH) LF v2.2.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/fuel/CH",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"
},
{
"title": "Forest Canopy Cover (CC) LF v2.2.0",
"sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:agriculture-vegetation-forestry/LANDFIRE-FUEL",
"type": "image_collection",
"id": "projects/sat-io/open-datasets/landfire/fuel/CC",
"provider": "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",
"tags": "doi, fire, landfire, nature-conservancy, usda, usgs, vegetation, wildfire"