Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method

International Journal of Remote Sensing

Volumn 37, Issue 13, 2016, Pages 2923-2949

  Liang, Liang ^a,b,c   Qin, Zhihao ^d   Zhao, Shuhe ^a,e   Di, Liping ^c   Zhang, Chao ^c,f   Deng, Meixia ^c   Lin, Hui ^b   Zhang, Lianpeng ^b   Wang, Lijuan ^b   Liu, Zhixiao ^g  

^a NANJING UNIVERSITY   (China)

^b JIANGSU NORMAL UNIVERSITY   (China)

^c GEORGE MASON UNIVERSITY   (United States)

^d INSTITUTE OF PLANT PROTECTION   (China)

^e NANJING NORMAL UNIVERSITY   (China)

^f CHINA AGRICULTURAL UNIVERSITY   (China)

^g JISHOU UNIVERSITY   (China)

Author keywords

chlorophyll content; hyperspectra; inversion; PROSAIL; random forest regression (RFR)

Indexed keywords

CHLOROPHYLL; CROPS; CURVE FITTING; DECISION TREES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; RADIATIVE TRANSFER; REGRESSION ANALYSIS; REMOTE SENSING; VEGETATION;

CHLOROPHYLL CONTENTS; HYPER SPECTRA; INVERSION; PROSAIL; RANDOM FORESTS;

MAPPING;

ALGORITHM; CHLOROPHYLL; CHRIS; CROP PLANT; ESTIMATION METHOD; INVERSE PROBLEM; RADIATIVE TRANSFER; REGRESSION ANALYSIS; REMOTE SENSING; SPECTRAL ANALYSIS; VEGETATION INDEX;

EID: 84977126748     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1186850     Document Type: Article

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