N: 0.631722 S: -2.29494 E: 12.0244 W: 9.17929
Description
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.
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Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
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| Managed rainforests support higher carbon density and sequestration in the Congo Basin |
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| Satellite-based mapping of annual canopy height and aboveground biomass in African dense forests |
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| Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the |
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| Integrating CNN With PolInSAR Multidimensional Backscattering for Enhanced Forest Height Retrieval |
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| An efficient method for estimating tropical forest canopy height from airborne PolInSAR data |
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| Hybrid Machine Learning Forest Height Estimation from TanDEM-X InSAR |
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| Estimating forest height and above-ground biomass in tropical forests using P-band TomoSAR and GEDI observations |
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| Improving Forest Canopy Height Estimation Using a Semi-Empirical |
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| Forest Biomass Mapping Using Continuous InSAR and Discrete Waveform Lidar Measurements: A TanDEM-X/GEDI Test Study |
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| Correcting Underestimation and Overestimation in PolInSAR Forest Canopy |
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| Improving forest height-to-biomass allometry with structure information: A TanDEM-X study |
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| Comprehensive comparison of airborne and spaceborne SAR and LiDAR estimates of forest structure in the tallest mangrove forest on earth |
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| Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels |
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