Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods

Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and Machine Learning Methods

Leaf area index (LAI) is an essential vegetation parameter that represents the light energy utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite launched by China, GF-5 is potentially useful for accurate LAI estimation. However, there is no research focus on...

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Bibliographic Details
Main Authors: Zhulin Chen, Kun Jia, Chenchao Xiao, Dandan Wei, Xiang Zhao, Jinhui Lan, Xiangqin Wei, Yunjun Yao, Bing Wang, Yuan Sun, Lei Wang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Remote Sensing
Subjects:
GF-5
LAI
feature selection
machine learning
Online Access:https://www.mdpi.com/2072-4292/12/13/2110

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