Published February 8, 2026 | Version v1.0.0

SmallWetlands: v1.0.0

  • 1. EDMO icon Stanford University
  • 2. EDMO icon The University of Texas at Austin
  • 3. ROR icon Lawrence Berkeley National Laboratory
  • 4. University of Houston
  • 5. ROR icon Pacific Northwest National Laboratory
  • 6. ROR icon Aerospace Information Research Institute
  • 7. ROR icon University of Illinois Urbana-Champaign
  • 8. ROR icon McGill University
  • 9. EDMO icon University of Wisconsin-Madison
  • 10. ROR icon National University of Singapore
  • 11. ROR icon University of Illinois Chicago
  • 12. ROR icon Peking University
  • 13. Spark Climate Solutions
  • 14. ROR icon Duke University
  • 15. ROR icon Chinese Academy of Sciences
  • 16. ROR icon Hong Kong University of Science and Technology
  • 17. ROR icon University of Connecticut
  • 18. ROR icon Yale University
  • 19. Université Paris-Saclay Gif-sur-Yvette

Description

Small wetlands remain underappreciated emission sources in the global methane budget. Using 30-m remote sensing data, we identify 160 million small wetlands (0.001–1 km²) in non-forested regions worldwide, contributing 24.1% of their total wetland methane emissions. Notably, methane emissions from small wetlands increased significantly (+9.9%) over 2003-2022, and very small (<0.1 km²) wetlands dominate the magnitude and growth of methane emissions.

The repository contains codes of identifying small wetlands and estimating wetland methane emissions. Specifically, we used the GWL_FCS30 wetland dataset, and used ancillary datasets including HydroLAKES, SWOT PLD, Global River Width from Landsat, and Global Dam Watch Database, to exclude water bodies such as lakes, ponds, rivers, streams, and reservoirs.

Files

GeoAI4GlobalChange/SmallWetlands-v1.0.0.zip

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Additional details

Related works

Dates

Created
2026

References