Spaceborne Lidar and Stereogrammetry Data Fusion to Predict Aboveground Biomass in Tropical Forests

Quantifying aboveground biomass (AGB) in tropical forests is a challenging but necessary task to support actions to preserve and restore these ecosystems. Recent methods have leveraged the integration of NASA's spaceborne lidar GEDI with imaging sensors to improve AGB predictions. However, the...

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Bibliographic Details
Main Authors: Leite, Rodrigo V., Wagner, William, Wooten, Margaret, Schlickmann, Monique B., Silva, Carlos A., Do Amaral, Cibele H., Cosenza, Diogo N., Torres, Carlos M.M.E., Mkaouar, Ameni, Bhushan, Shashank, Shean, David, Montesano, Paul, Morton, Douglas C., Neigh, Christopher S.R.
Format: Conference Proceeding
Language:English
Subjects:
Atlantic Forest
Atmospheric modeling
Forests
GEDI
HLS
Image sensors
Laser radar
Measurement
Predictive models
Stereophotogrammetry
stereoscopy
Vegetation mapping
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Summary:Quantifying aboveground biomass (AGB) in tropical forests is a challenging but necessary task to support actions to preserve and restore these ecosystems. Recent methods have leveraged the integration of NASA's spaceborne lidar GEDI with imaging sensors to improve AGB predictions. However, the use of high-resolution (
ISSN:2153-7003
DOI:10.1109/IGARSS53475.2024.10641914