Rapid determination of leaf water content for monitoring waterlogging in winter wheat based on hyperspectral parameters

Rapid determination of leaf water content for monitoring waterlogging in winter wheat based on hyperspectral parameters

Waterlogging is becoming an obvious constraint on food production due to the frequent occurrence of extremely high-level rainfall events. Leaf water content (LWC) is an important waterlogging indicator, and hyperspectral remote sensing provides a non-destructive, real-time and reliable method to det...

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Bibliographic Details
Main Authors: Fei-fei YANG, Tao LIU, Qi-yuan WANG, Ming-zhu DU, Tian-le YANG, Da-zhong LIU, Shi-juan LI, Sheng-ping LIU
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-10-01
Series:Journal of Integrative Agriculture
Subjects:
winter wheat
hyperspectral remote sensing
leaf water content
new vegetation index
BP neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311920633068
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