Submitted by ORNL DAAC Staff on 2020-07-20
Estimates of woody biomass (tree and shrubs) at 1-km resolution in megagrams per hectare (Mg ha-1). Biomass was estimated from canopy cover, canopy height, and tree allometry. Source: C.W. Ross
Estimates of woody cover and biomass across sub-Saharan Africa were derived from observations, tree allometry equations, and remote-sensing products.
Submitted by ORNL DAAC Staff on 2020-07-06
Estimated aboveground biomass (Mg/ha) for Sonoma County at 30 m spatial resolution with the 5th-95th percentile range and the standard deviation (SD) of per-pixel biomass estimates shown in the top left and bottom left, respectively.
A new dataset used a parametric modeling approach to estimate biomass from airborne LiDAR data and field measurements.
Submitted by ORNL DAAC Staff on 2020-05-26
The locations of the 176 lidar collection areas (light green polygons) acquired between 2002 and 2016.
Aboveground biomass was derived from forest inventory data and lidar imagery.
Submitted by ORNL DAAC Staff on 2020-04-29
Map of annual live aboveground tree biomass (Mg/ha) for pinyon-juniper forests across a representative portion of the Great Basin of the Western USA for the year 2005 at a spatial resolution of 30 meters.
Maps of live tree biomass in pinyon-juniper forests are available for the years 2000-2016.
Submitted by ORNL DAAC Staff on 2020-03-10
Global maps of above and belowground biomass carbon density: (a) aboveground biomass carbon density, (b) belowground biomass carbon density.
Temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density are now available.
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