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

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作者： Jibo,Yue ^[1] ; Haikuan,Feng ^[2] ; Qingjiu,Tian ^[1] ; Chengquan,Zhou ^[2]

作者单位： Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing Research Center for Information Technology in Agriculture, Beijing, 100097 China. ^[1] International Institute for Earth System Science, Nanjing University, Nanjing, 210023 China. ^[2] Institute of Agricultural Equipment, Zhejiang Academy of Agricultural Sciences (ZAAS), Hangzhou, 310000 China. ^[3]

关键词 Angle index Soybean Spectral vegetation indices UAV remote sensing

DOI 10.1186/s13007-020-00643-z

PMID 32765637

发布时间 2022-04-16

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Plant methods

2020年16卷

104页

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

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

Plant methods

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Plant methods

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