Improving aboveground biomass density mapping of arid and semi-arid vegetation by combining GEDI LiDAR, Sentinel-1/2 imagery and field data

Improving aboveground biomass density mapping of arid and semi-arid vegetation by combining GEDI LiDAR, Sentinel-1/2 imagery and field data

Accurate estimates of forest aboveground biomass density (AGBD) are essential to guide mitigation strategies for climate change. NASA's Global Ecosystem Dynamics Investigation (GEDI) project delivers full-waveform LiDAR data and provides a unique opportunity to improve AGBD estimates. However,...

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Bibliographic Details
Main Authors: Luis A. Hernández-Martínez, Juan Manuel Dupuy-Rada, Alfonso Medel-Narváez, Carlos Portillo-Quintero, José Luis Hernández-Stefanoni
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Science of Remote Sensing
Subjects:
AGBD
Full-waveform LiDAR
Random forest
Xeric shrubland
Tropical deciduous forest
Broad-leaved forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017225000100
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