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 e Risorse

Campo Valore
accessLevel public
bureauCode {026:00}
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citation Armston, J., H. Tang, S. Hancock, S. Marselis, L. Duncanson, J. Kellner, M. Hofton, J.B. Blair, T. Fatoyinbo, and R.O. Dubayah. 2020. AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, 2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1775
graphic-preview-description 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. Note that the images labeled "DEM" are plotted from the bare ground elevation data files included in the dataset. Source: J. Armston
graphic-preview-file https://daac.ornl.gov/AFRISAR/guides/Afrisar_LVIS_Biomass_VProfiles_Fig1.png
identifier C1943616875-ORNL_DAAC
issued 2020-09-22
landingPage https://doi.org/10.3334/ORNLDAAC/1775
language {en-US}
metadata_type geospatial
modified 2020-09-23
programCode {026:001}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash 641dc5f17e3ebae66ae6f3db60ea5081779c0893
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spatial {"type": "Polygon", "coordinates": [[[9.18, -2.29], [12.02, -2.29], [12.02, 0.63], [9.18, 0.63], [9.18, -2.29]]]}
temporal 2016-02-20T00:00:00Z/2016-03-08T23:59:59Z
theme {AfriSAR,geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • biosphere
  • ckan
  • earth-science
  • ecosystems
  • geo
  • geoss
  • land-surface
  • national
  • north-america
  • topography
  • united-states
  • vegetation
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license_id notspecified
license_title License not specified
maintainer undefined
maintainer_email uso@daac.ornl.gov
metadata_created 2025-11-22T23:39:59.409848
metadata_modified 2025-11-22T23:39:59.409852
notes 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.
num_resources 6
num_tags 14
title AfriSAR: Gridded Forest Biomass and Canopy Metrics Derived from LVIS, Gabon, 2016