Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data

Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data

Canopy chlorophyll content (CCC) indicates the photosynthetic functioning of a crop, which is essential for the growth and development and yield increasing. Accurate estimation of CCC from remote-sensing data benefits from including information on leaf chlorophyll and canopy structures. However, con...

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Bibliographic Details
Main Authors: Weiping Kong, Wenjiang Huang, Lingling Ma, Chuanrong Li, Lingli Tang, Jiawei Guo, Xianfeng Zhou, Raffaele Casa
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Plant Science
Subjects:
winter wheat
multi-angle hyperspectral remote sensing
canopy chlorophyll content
biangular combination
crop phenotype
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.866301/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.866301/full

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