Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass

Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass

Accurate assessment and monitoring of stand volume (SV) and above-ground biomass (AGB) in mixed mountain forests is crucial for sustainable forestry, ecosystem service assessment, and climate change mitigation. While airborne multi/hyper-spectral and LiDAR sensors have been proven effective for SV a...

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Bibliographic Details
Main Authors: Rodolfo Ceriani, Sebastian Brocco, Monica Pepe, Silvio Oggioni, Giorgio Vacchiano, Renzo Motta, Roberta Berretti, Davide Ascoli, Matteo Garbarino, Donato Morresi, Francesco Bassi, Francesco Fava
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
EMIT
LiDAR
Mountain mixed forest
Above ground biomass
Stand volume
ML
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225002614
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