Aboveground Biomass High-Resolution Maps for Selected US Tidal Marshes, 2015

Description

This dataset provides maps of aboveground tidal marsh biomass (g/m2) at 30 m resolution for six estuarine regions of the conterminous United States: Cape Cod, MA; Chesapeake Bay, MD, Everglades, FL; Mississippi Delta, LA; San Francisco Bay, CA; and Puget Sound, WA. Estuarine and palustrine emergent tidal marsh areas were based on a 2010 NOAA Coastal Change Analysis Program (C-CAP) map. Aboveground biomass maps were generated from a random forest model driven by Landsat vegetation indices and a national scale dataset of field-measured aboveground biomass. The final model, driven by six Landsat vegetation indices, with the soil adjusted vegetation index as the most important, successfully predicted biomass for a range of marsh plant functional types defined by height, leaf angle, and growth form. Biomass can be converted to carbon stocks using a mean plant carbon content of 44.1%.

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%2F1879
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/Tidal_Marsh_Biomass_US_V1-1.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1879
33 Aboveground Biomass High-Resolution Maps for Selected US Tidal Marshes, 2015: Tidal_Marsh_Biomass_US_V1-1.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/Tidal_Marsh_Biomass_US_V1-1/comp/Tidal_Marsh_Biomass_US_V1-1.pdf
22 The largest present-day amount of tidal vegetation biomass were found across the Terrebonne and St. Mary Parishes of the Mississippi River Delta in Louisiana. (Source Louisiana_biomass_2015.tif) https://daac.ornl.gov/CMS/guides/Tidal_Marsh_Biomass_US_V1-1_Fig1.jpg
21 Web Coverage Service for this collection. https://webmap.ornl.gov/wcsdown/dataset.jsp?ds_id=1879
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/Tidal_Marsh_Biomass_US_V1-1/

Tags

  • ecosystems
  • land-surface
  • biosphere
  • vegetation
  • geomorphic-landforms-processes
  • earth-science

Topics

Categories