Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined?

<p>The development of high-resolution mapping models for forest attributes based on remote sensing data combined with machine or deep learning techniques has become a prominent topic in the field of forest observation and monitoring. This has resulted in the availability of multiple, sometimes...

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Bibliographic Details
Main Authors: N. Besic, N. Picard, C. Vega, J.-D. Bontemps, L. Hertzog, J.-P. Renaud, F. Fogel, M. Schwartz, A. Pellissier-Tanon, G. Destouet, F. Mortier, M. Planells-Rodriguez, P. Ciais
Format: Article
Language:English
Published: Copernicus Publications 2025-01-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/18/337/2025/gmd-18-337-2025.pdf
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