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CMS: LiDAR Biomass Improved for High Biomass Forests, Sonoma County, CA, USA,...
This data set provides estimates of above-ground woody biomass and uncertainty at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013. Biomass...- HTML
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ECHIDNA LIDAR Campaigns: Forest Canopy Imagery and Field Data, U.S.A., 2007-2009
This data set contains forest canopy scan data from the Echidna Validation Instrument (EVI) and field measurements data from three campaigns conducted in the United States: 2007...- HTML
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LiDAR Derived Biomass, Canopy Height and Cover for Tri-State (MD, PA, DE) Reg...
This dataset provides 30-meter gridded estimates of aboveground biomass (AGB), forest canopy height, and canopy coverage for Maryland, Pennsylvania, and Delaware in 2011....- HTML
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Forest Aboveground Biomass and Carbon Sequestration Potential for Maryland, USA
This dataset provides 90-m resolution maps of estimated forest aboveground biomass (Mg/ha) for nominal year 2011 and projections of carbon sequestration potential for the state...- HTML
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CMS: LiDAR-derived Estimates of Aboveground Biomass at Four Forested Sites, USA
These data consist of high-resolution maps of aboveground biomass at four forested sites in the US: Garcia River Tract in California, Anne Arundel and Howard Counties in...- HTML
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LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016
This dataset provides maps of aboveground forest biomass (AGB) of living trees and standing dead trees in Mg/ha across portions of Northwestern United States, including...- HTML
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LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 200...
This dataset provides estimates of aboveground biomass and spatially explicit uncertainty from 53 airborne LiDAR surveys of locations throughout California between 2005 and...- HTML
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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...- HTML
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