AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, 2016

This dataset contains gridded forest characterization products derived from full-waveform lidar data acquired by NASA's airborne Land, Vegetation, and Ice Sensor (LVIS) instrument for five forested sites in Gabon, Africa, during the 2016 NASA-ESA AfriSAR campaign. The LVIS lidar instrument was flown over study sites in Lope, Mondah/Akanda, Pongara, Rabi, and Mabouni from February to March 2016. Derived canopy cover, canopy heights, bare ground elevation, plant area index (PAI), and foliage height diversity (FHD), and respective uncertainties are provided at a 25 m resolution for each of the five study sites. Aboveground biomass density (AGBD) and uncertainty were modeled at 50 m and 100 m resolutions for the Lope, Mondah, and Mabounie sites using field inventory data and waveform height and cover metrics. Lidar grid cell data collection statistics (i.e., number of shots and flight lines) and a data mask are also included. This research leverages high-quality forest inventory datasets collected during the AfriSAR campaign for one of the least studied and most unique forest ecosystems in the world.

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated August 18, 2026, 02:10 (UTC)
Created April 1, 2025, 14:13 (UTC)
accessLevel public
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harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/1775
license https://www.usa.gov/government-works
modified 2026-08-10T22:16:02Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
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spatial ["CARTESIAN", [{"WestBoundingCoordinate": 9.17929, "NorthBoundingCoordinate": 0.631722, "EastBoundingCoordinate": 12.0244, "SouthBoundingCoordinate": -2.29494}]]
temporal 2016-02-20/2016-03-08
theme {"Earth Science"}