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. AGB estimates were based on machine learning algorithms trained on Landsat imagery. Tree measurements were retrieved from the Fire and Fuels Extension of the Forest Vegetation Simulator (FFE-FVS) to estimate AGB, then lidar was used to predict plot-level AGB using Random Forests machine learning...
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