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Annual Aboveground Biomass Maps for Forests in the Northwestern USA, 2000-2016

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1719
Project
Published2019-11-14
Updated2019-11-14
Usage13 downloads

Description

This dataset provides annual maps of aboveground biomass (AGB, Mg/ha) for forests in Washington, Oregon, Idaho, and western Montana, USA, for the years 2000-2016, at a spatial resolution of 30 meters. Tree measurements were summarized with the Fire and Fuels Extension of the Forest Vegetation Simulator (FFE-FVS) to estimate AGB in field plots contributed by stakeholders, then lidar was used to predict plot-level AGB using the Random Forests machine learning algorithm. The machine learning outputs were used to predict AGB from Landsat time series imagery processed through LandTrendr, climate metrics generated from 30-year climate normals, and topographic metrics generated from a 30-m Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM). The non-forested pixels were masked using the PALSAR 2009 forest/nonforest mask.

Science Keywords

  • BIOSPHERE
  • VEGETATION
  • BIOMASS
  • BIOSPHERE
  • VEGETATION
  • CARBON
  • BIOSPHERE
  • ECOSYSTEMS
  • TERRESTRIAL ECOSYSTEMS
  • FORESTS

Data Use and Citation

This dataset is openly shared, without restriction, in accordance with the NASA Data and Information Policy.

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Crosscite Citation Formatter
Fekety, P.A., and A.T. Hudak. 2019. Annual Aboveground Biomass Maps for Forests in the Northwestern USA, 2000-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1719

See our Data Use and Citation Policy for more information.

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Dataset has 1 companion files.

  • CMS_AGB_NW_USA.pdf