A Hybrid Method of PROSAIL RTM for the Retrieval Canopy LAI and Chlorophyll Content of Moso Bamboo (<italic>Phyllostachys pubescens</italic>) Forests From Sentinel-2 MSI Data

A Hybrid Method of PROSAIL RTM for the Retrieval Canopy LAI and Chlorophyll Content of Moso Bamboo (<italic>Phyllostachys pubescens</italic>) Forests From Sentinel-2 MSI Data

Leaf area index (LAI) and chlorophyll content are crucial variables in photosynthesis, respiration, and transpiration, playing a vital role in monitoring vegetation stress, estimating productivity, and evaluating carbon cycling processes. Currently, physical models are widely adopted for estimating...

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Bibliographic Details
Main Authors: Zhanghua Xu, Chaofei Zhang, Songyang Xiang, Lingyan Chen, Xier Yu, Haitao Li, Zenglu Li, Xiaoyu Guo, Huafeng Zhang, Xuying Huang, Fengying Guan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Canopy chlorophyll content (CCC)
hybrid method
leaf area index (LAI)
Moso bamboo forests
PROSAIL RTM
Online Access:https://ieeexplore.ieee.org/document/10818736/
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