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

Metadata Updated: November 12, 2020

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Graphic Preview

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

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher ORNL_DAAC
Unique Identifier Unknown
Maintainer
Identifier C1943616875-ORNL_DAAC
Data First Published 2020-09-22
Language en-US
Data Last Modified 2020-09-23
Category AfriSAR, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
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
Homepage URL https://doi.org/10.3334/ORNLDAAC/1775
Metadata Type geospatial
Program Code 026:001
Source Datajson Identifier True
Source Hash 641dc5f17e3ebae66ae6f3db60ea5081779c0893
Source Schema Version 1.1
Spatial 9.18 -2.29 12.02 0.63
Temporal 2016-02-20T00:00:00Z/2016-03-08T23:59:59Z

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