N: 0.611119 S: -1.94602 E: 11.6436 W: 9.30308
Description
This dataset provides gridded estimates of aboveground biomass (AGB) for four sites in Gabon at 0.25 ha (50 m) resolution derived with field measurements and airborne LiDAR data collected from 2010 to 2016. The sites represent a mix of forested, savannah, and some agricultural and disturbed landcover types: Lope site, within Lope National Park; Mabounie, mostly forested site; Mondah Forest, protected area; and the Rabi forest site, part of the Smithsonian Institution of Global Earth Observatories world-wide network of forest plots. Plot-level biophysical measurements of tree diameter and tree height (or estimated by allometry) were performed at 1 ha and 0.25 ha scales on multiple plots at each site and used to derive AGB for each tree and then summed for each plot. Aerial LiDAR scans were used to construct digital elevation models (DEM) and digital surface models (DSM), and then the DEM and DSM were used to construct a canopy height model (CHM) at 1 m resolution. After checking site-plot locations against the CHM, mean canopy height (MCH) was computed over each 0.25 ha. A single regression model relating MCH and AGB estimates, incorporating local height based on the trunk DBH (HD) relationships, was produced for all sites and combined with the CHM layer to construct biomass maps at 0.25 ha resolution.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
Copy Citation
Documents
Get Help
QUESTIONS & SUPPORT
Get help with NASA Earth science data, datasets, tools, services, and metadata on the Earthdata Forum. Experienced staff in the data user community review and answer questions.
Get help on Earthdata ForumForum
Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
|---|---|---|---|
| ForestScan: a unique multiscale dataset of tropical forest structure across 3 continents including terrestrial, UAV and airborne LiDAR and in-situ forest census data |
|
||
| Satellite-based mapping of annual canopy height and aboveground biomass in African dense forests |
|
||
| Enhancing aboveground biomass density estimates in tropical forests using GEDI waveform data |
|
||
| Multicriteria Accuracy Assessment of Digital Elevation Models (DEMs) |
|
||
| Estimation of the total dry aboveground biomass in the tropical forests of Congo Basin using optical, LiDAR, and radar data |
|
||
| Comprehensive comparison of airborne and spaceborne SAR and LiDAR estimates of forest structure in the tallest mangrove forest on earth |
|
||
| UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon |
|