Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020

Description

This dataset provides estimates of aboveground biomass (AGB) and salt marsh extent in the contiguous United States for 2020 and includes all coastal watersheds across the contiguous United States at 10-m resolution. Estimates were generated by XGBoost machine learning regression. Salt marsh extent was classified using an ensemble of XGBoost, random forests, and support vector machines, trained with salt marsh location identified with the National Wetland Inventory (NWI). The data are organized by Hydrologic Unit Code (HUC) 6-digit basin. Within each HUC, the spatial extent of salt marsh and its uncertainty were estimated by machine learning and input data from NWI maps, the National Elevation Dataset, along with Sentinel-1 and Sentinel-2 imagery. Estimates were compared to in situ biomass data from salt marshes in Georgia and Massachusetts. The data are provided in cloud-optimized GeoTIFF format.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F2348
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/2348
33 Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020: Salt_Marsh_Biomass_CONUS.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/Salt_Marsh_Biomass_CONUS/comp/Salt_Marsh_Biomass_CONUS.pdf
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/Salt_Marsh_Biomass_CONUS.html
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/daacdata/cms/Salt_Marsh_Biomass_CONUS/
34 A visualization from the Chesapeake Bay displaying aboveground biomass and the upper and lower levels of salt marsh extent. Upper extent includes all areas within the lower extent. Background is Sentinel-2 imagery (NIR, G, B) for a section of Deal Island, Maryland. https://daac.ornl.gov/CMS/guides/Salt_Marsh_Biomass_CONUS_Fig1.png

Tags

  • ecosystems
  • biosphere
  • vegetation
  • earth-science

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