A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages

A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages

Abstract Background Timely and accurate estimates of canopy chlorophyll (Chl) a and b content are crucial for crop growth monitoring and agricultural management. Crop canopy reflectance depends on many factors, which can be divided into the following categories: (i) leaf effects (e.g., leaf pigments...

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Bibliographic Details
Main Authors: Jibo Yue, Haikuan Feng, Qingjiu Tian, Chengquan Zhou
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Plant Methods
Subjects:
Angle index
Spectral vegetation indices
UAV remote sensing
Soybean
Online Access:http://link.springer.com/article/10.1186/s13007-020-00643-z

Internet

http://link.springer.com/article/10.1186/s13007-020-00643-z

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