Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data

Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data

Forest canopy closure (FCC) is an important biological parameter to evaluate forest resources and biodiversity, and the use of multi-source remote sensing synergy to achieve high-accuracy estimate regional FCC at low cost is a current research hotspot. In this study, Shangri-La City, a mountainous a...

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Bibliographic Details
Main Authors: Wenwu Zhou, Qingtai Shu, Cuifen Xia, Li Xu, Qin Xiang, Lianjin Fu, Zhengdao Yang, Shuwei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Plant Science
Subjects:
ICESat-2/ATLAS
Bayesian optimization algorithm
machine learning method
geographically weighted regression
multi-source remote sensing data
forest canopy closure
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1629146/full
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https://www.frontiersin.org/articles/10.3389/fpls.2025.1629146/full

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