N: 0.61 S: -2.07788 E: 11.8642 W: 9.16944
Description
This dataset contains forest vertical structure and associated uncertainty products derived by applying multi-baseline Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) and Polarimetric Coherence Tomographic SAR (PCT or PC-TomoSAR) techniques. The data were collected from multiple repeat-pass flights over Gabonese forests using the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) instrument in February-March 2016. In addition, supplementary data products based on various intermediate parameters of the UAVSAR data are provided and include radar backscatter, coherence, and viewing and terrain geometry. These data were collected by NASA as part of the joint NASA/ESA AfriSAR campaign.
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
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Estimation of the total dry aboveground biomass in the tropical forests of Congo Basin using optical, LiDAR, and radar data | Migolet, Pierre, Goita, Kalifa, Pambo, Aurelie Flore Koumba, Mambimba, Aboubakar Ndjoungui | Carbon, Forests, Biomass, Vegetation Species, Forest Composition/Vegetation Structure, Dominant Species, Canopy Characteristics, Topographic Effects, Terrain Elevation | |
| UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon | Asopa, Udit, Kumar, Shashi | Carbon, Forests, Biomass, Vegetation Species, Forest Composition/Vegetation Structure, Dominant Species, Canopy Characteristics, Topographic Effects, Terrain Elevation |