Gridded Land, Vegetation, and Ice Sensor (LVIS) instrument data products at 25 m spatial resolution over the Mondah Forest (left) and Mabounie (right) sites in Gabon.
NASA's airborne Land, Vegetation, and Ice Sensor (LVIS) instrument was used to collect inventory data for Gabon's forests.
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.
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.
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.
Maps of live tree biomass in pinyon-juniper forests are available for the years 2000-2016.
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.
Biomass (Mg ha-1) for the northern Minnesota site.
Six Landsat focus sites were used to produce disturbance history and forest biomass maps.
Forest aboveground biomass in megagrams per hectare for the year 2016.
Annual maps of aboveground biomass are available for forests in Washington, Oregon, Idaho, and western Montana, USA.
Estuaries classes used in the study: former river valley primary estuary, former glacier valley primary estuary, river delta primary estuary, tectonic structural primary estuary, coastal lagoon secondary estuary, and unclassified estuary.
Soil organic carbon (SOC) estimates and environmental data for US estuaries are available for the period 1972-2015.
Assimilated predictions of forest aboveground biomass across the Paragominas Municipality, Brazil.
Estimates of forest aboveground biomass for the Paragominas municipality, in Para, Brazil, were derived from LiDAR and PALSAR data.