Assessment of Leaf Chlorophyll Content Models for Winter Wheat Using Landsat-8 Multispectral Remote Sensing Data

Assessment of Leaf Chlorophyll Content Models for Winter Wheat Using Landsat-8 Multispectral Remote Sensing Data

The leaf chlorophyll content (LCC) is a critical index to characterize crop growth conditions, photosynthetic capacity, and physiological status. Its dynamic change characteristics are of great significance for monitoring crop growth conditions and understanding the process of material and energy ex...

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Bibliographic Details
Main Authors: Xianfeng Zhou, Jingcheng Zhang, Dongmei Chen, Yanbo Huang, Weiping Kong, Lin Yuan, Huichun Ye, Wenjiang Huang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
leaf chlorophyll content
Landsat-8
vegetation index
machine learning
lookup table-based inversion
hybrid regression
Online Access:https://www.mdpi.com/2072-4292/12/16/2574

Internet

https://www.mdpi.com/2072-4292/12/16/2574

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