Disturbance History and Forest Biomass from Landsat for Six US Sites, 1985-2014

Description

This dataset provides derived disturbance history and predicted annual forest biomass maps at 30-m resolution for six selected Landsat scenes across the Conterminous United States (CONUS) for the period 1985-2014. The focus sites are in the following states: Colorado, Maine, Minnesota, Oregon, Pennsylvania, and South Carolina. These scenes were selected to represent a wide range of forest ecosystems, which ensured that a diversity of forest type groups and forest change processes (e.g., harvest, fire, insects, and urbanization) were included. Disturbance history was derived from a Landsat time-series for each site. Each disturbance is represented by year of detection, duration, and magnitude. The cause of the disturbance was not identified. Forest biomass was measured at field plots within each of the six sites and combined with airborne LiDAR data from each site to create land validation maps. Site biomass at 30-m resolution was estimated by developing Random Forest models that include site disturbance history with the land validation maps.

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%2F1679
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/Disturbance_Biomass_Maps/
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1679
34 Biomass (Mg ha-1) for the northern Minnesota site. Source: biomass_MN.nc https://daac.ornl.gov/CMS/guides/Disturbance_Biomass_Maps_Fig1.png
33 Annual Disturbance and Predicted Biomass Maps Derived from Landsat, 1985-2014: Disturbance_Biomass_Maps.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/Disturbance_Biomass_Maps/comp/Disturbance_Biomass_Maps.pdf
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/Disturbance_Biomass_Maps.html
21 USE SERVICE API https://opendap.earthdata.nasa.gov/

Tags

  • ecosystems
  • land-use-land-cover
  • land-surface
  • biosphere
  • spectral-engineering
  • vegetation
  • lidar
  • earth-science

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