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

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2348
Version1
Project
Published2024-06-21
Usage28 downloads

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.

Science Keywords

  • BIOSPHERE
  • ECOSYSTEMS
  • MARINE ECOSYSTEMS
  • COASTAL
  • BIOSPHERE
  • VEGETATION
  • BIOMASS

Data Use and Citation

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Crosscite Citation Formatter
Campbell, A., and L. Fatoyinbo. 2024. Aboveground Biomass Estimates for Salt Marsh for the Contiguous United States, 2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2348

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Companion Files

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Dataset has 1 companion files.

  • Salt_Marsh_Biomass_CONUS.pdf