-
-
Notifications
You must be signed in to change notification settings - Fork 134
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- added global peatland database - added global peatland fractional coverage
- Loading branch information
Showing
4 changed files
with
150 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,56 @@ | ||
| # Global Peatland Database | ||
|
|
||
| The Global Peatland Map 2.0, launched by the **Global Peatlands Initiative** partners at the Global Peatland Pavilion during UNFCCC COP26, enhances our understanding of the location and extent of peatlands worldwide. This dataset integrates data on location, extent, and drainage status of peatlands and organic soils globally, covering 268 countries and regions. It combines external data with mapping contributions from the **Greifswald Mire Centre**, providing a composite map of global peatlands, organic soils, and proxy data. The dataset supports map production, statistics, and analysis for the **Global Peatland Assessment 2022**. | ||
|
|
||
| You can download [Global Peatland Map 2.0 here](https://nextcloud.uni-greifswald.de/index.php/s/s7Ln5QKxdQG5aaA) and additional information about [about Global Peatland Database can be found here](https://greifswaldmoor.de/global-peatland-database-en.html) | ||
|
|
||
| #### Dataset Characteristics | ||
|
|
||
| | **Property** | **Value** | | ||
| |---------------------|------------------------------------| | ||
| | **Format** | GeoTiff | | ||
| | **Projection** | WGS 84 | | ||
| | **Pixel Values** | 1 = peat dominated, 2 = peat in soil mosaic | | ||
| | **Spatial Resolution** | 1x1 km | | ||
|
|
||
| #### Citation | ||
|
|
||
| ``` | ||
| Greifswald Mire Centre (2022). Global Peatland Map 2.0. Underlying dataset of the UNEP Global Peatland Assessment - The State of the World’s Peatlands: Evidence for action toward the conservation, restoration, and sustainable management of peatlands, Global Peatlands Initiative, United Nations Environment Programme, Nairobi. | ||
| ``` | ||
|
|
||
|  | ||
|
|
||
| #### Earth Engine Snippet (Indonesia Example) | ||
| ```js | ||
| // Load administrative boundaries for Indonesia | ||
| var admin1 = ee.FeatureCollection("projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM1"); | ||
| var geometry = admin1.filter(ee.Filter.eq('shapeGroup', 'IDN')); | ||
|
|
||
| Map.centerObject(geometry, 4); | ||
| Map.setOptions("Hybrid"); | ||
|
|
||
| var peat = ee.Image("projects/sat-io/open-datasets/GLOBAL-PEATLAND-DATABASE") | ||
| .clip(geometry) | ||
| .unmask(); | ||
|
|
||
| // Display the results | ||
| Map.addLayer(peat.clip(geometry), | ||
| {min: 0, max: 1, palette: ['#f7fcf5', '#c7e9c0', '#74c476', '#238b45', '#00441b']}, | ||
| 'Peatland Distribution', true | ||
| ); | ||
| ``` | ||
|
|
||
| Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-PEATLAND-FRACTIONAL-COVER | ||
|
|
||
| #### License | ||
| This dataset is made available under a Creative Commons NonCommercial-ShareAlike 4.0 International. | ||
|
|
||
| #### Keywords | ||
| peatland, wetland, organic soil, soil carbon, ecosystem | ||
|
|
||
| Provided by: Greifswald Mire Centre (2022) | ||
|
|
||
| Curated in GEE by: Ka Hei and Samapriya Roy | ||
|
|
||
| Last updated in GEE: 2024-07-14 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,70 @@ | ||
| # Global Peatland Fractional Coverage | ||
|
|
||
| Peatlands, as waterlogged terrestrial wetland ecosystems, store vast amounts of soil carbon and freshwater, playing a crucial role in the global carbon and hydrologic cycles. The **Peat-ML** dataset is a spatially continuous **global map of peatland fractional coverage** generated using machine learning models trained with climate, geomorphological, soil data, and **remotely-sensed vegetation indices**. Available peatland coverage maps from 14 regions, along with non-peatland ecoregions, were used to develop a statistical model with an average **r-squared of 0.73** and errors of **9.11%** (root mean square) and **-0.36%** (bias). The dataset is available in **NetCDF format** and published in **2021**. For more information, you can access the associated research paper [here](https://gmd.copernicus.org/articles/15/4709/2022/). | ||
|
|
||
| The original datasets are available as NetCDF with a model accuracy with R² = 0.73, RMSE = 9.11%, MBE = -0.36%. You can download [the Peat-ML Dataset (2021) here](https://zenodo.org/records/7352284). Additional details are available in the paper [Melton et al., 2022](https://gmd.copernicus.org/articles/15/4709/2022/) | ||
|
|
||
| <center> | ||
|
|
||
|  | ||
|
|
||
| *Workflow for dataset generation (Joe R. Melton et al., 2022)* | ||
|
|
||
| </center> | ||
|
|
||
| <center> | ||
|
|
||
|  | ||
| *Example data visualization of peatland distribution in Indonesia* | ||
|
|
||
| </center> | ||
|
|
||
| #### Citation | ||
|
|
||
| ``` | ||
| Melton, J. R., Chan, E., Millard, K., Fortier, M., Winton, R. S., Martín-López, J. M., Cadillo-Quiroz, H., Kidd, D., and Verchot, L. V.: A map of | ||
| global peatland extent created using machine learning (Peat-ML), Geosci. Model Dev., 15, 4709–4738, https://doi.org/10.5194/gmd-15-4709-2022, 2022. | ||
| ``` | ||
|
|
||
| #### Dataset Citation | ||
|
|
||
| ``` | ||
| Melton, J. R., Chan, E., Millard, K., Fortier, M., Winton, R. S., Martín-López, J. M., Cadillo-Quiroz, H., Kidd, D., & Verchot, L. V. (2021). A map | ||
| of global peatland extent created using machine learning (Peat-ML) [Data set]. In Geoscientific Model Development (1.0). | ||
| Zenodo. https://doi.org/10.5281/zenodo.7352284 | ||
| ``` | ||
|
|
||
| #### Earth Engine Snippet | ||
|
|
||
| ```js | ||
| // Load administrative boundaries for Indonesia | ||
| var admin1 = ee.FeatureCollection("projects/sat-io/open-datasets/geoboundaries/HPSCGS-ADM1"); | ||
| var geometry = admin1.filter(ee.Filter.eq('shapeGroup', 'IDN')); | ||
|
|
||
| Map.centerObject(geometry, 4); | ||
| Map.setOptions("Hybrid"); | ||
|
|
||
| var peat = ee.Image("projects/sat-io/open-datasets/ML-GLOBAL-PEATLAND-EXTENT") | ||
| .clip(geometry) | ||
| .unmask(); | ||
|
|
||
| // Display the results | ||
| Map.addLayer(peat.clip(geometry), | ||
| {min: 0, max: 100, palette: ['#f7fcf5', '#c7e9c0', '#74c476', '#238b45', '#00441b']}, | ||
| 'Peatland Distribution', true | ||
| ); | ||
| ``` | ||
|
|
||
| Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-PEATLAND-FRACTIONAL-COVER | ||
|
|
||
| #### License | ||
| These datasets are provided under a Creative Commons Attribution 4.0. | ||
|
|
||
| #### Keywords | ||
| peatland, soil carbon, wetland, ecosystem | ||
|
|
||
| Provided by: Melton et al 2022 | ||
|
|
||
| Curated in GEE by: Samapriya Roy | ||
|
|
||
| Last updated in GEE: 2024-07-14 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters