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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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 |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2025-01-01
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Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/18/337/2025/gmd-18-337-2025.pdf |
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