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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.

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. Additional details are available in the paper Melton et al., 2022

Workflow for Peat-ML

Workflow for dataset generation (Joe R. Melton et al., 2022)

Peatland Distribution Indonesia Example data visualization of peatland distribution in Indonesia

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

// 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

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