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

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.

Data and Resources

Additional Info

Field Value
Source https://doi.org/10.3334/ORNLDAAC/1719
Last Updated April 28, 2022, 23:42 (UTC)
Created April 28, 2022, 23:42 (UTC)
GUID C1656657731-ORNL_DAAC
Language en-US
dcat_issued 2019-11-14
dcat_modified 2021-11-29
dcat_publisher_name ORNL_DAAC
spatial {"type": "Polygon", "coordinates": [[[-127.52, 39.81], [-127.52, 50.79], [-110.31, 50.79], [-110.31, 39.81], [-127.52, 39.81]]]}