Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data

Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data

Individual inversions of Leaf Area Index (LAI) and Leaf Chlorophyll Content (LCC) have problems due to the mutual interference between these two vegetation parameters on remote sensing signals. We therefore explore synergetic inversion of these two parameters to improve their inversion accuracy. We...

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Bibliographic Details
Main Authors: Xiaowen Guo, Rong Wang, Jing M. Chen, Zhiqiang Cheng, Hongda Zeng, Guofang Miao, Zhiqun Huang, Zhenxiong Guo, Jianjie Cao, Jinhui Niu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-01-01
Series:Geo-spatial Information Science
Subjects:
Unmanned Aerial Vehicle (UAV)
Leaf Area Index (LAI)
Leaf Chlorophyll Content (LCC)
synergetic inversion
empirical model
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2023.2251540
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