Modeling Canopy Height of Forest–Savanna Mosaics in Togo Using ICESat-2 and GEDI Spaceborne LiDAR and Multisource Satellite Data

Modeling Canopy Height of Forest–Savanna Mosaics in Togo Using ICESat-2 and GEDI Spaceborne LiDAR and Multisource Satellite Data

Quantifying forest carbon storage to better manage climate change and its effects requires accurate estimation of forest structural parameters such as canopy height. Variables from remote sensing data and machine learning models are tools that are being increasingly used for this purpose. This study...

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Bibliographic Details
Main Authors: Arifou Kombate, Guy Armel Fotso Kamga, Kalifa Goïta
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
spatial LiDAR
GEDI
ICESat-2
canopy height
modeling
data combinations
Online Access:https://www.mdpi.com/2072-4292/17/1/85
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