Assessment of chlorophyll content using a new vegetation index based on multi-angular hyperspectral image data

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 34, Issue 6, 2014, Pages 1599-1604

  Liao, Qin Hong ^a,b,c   Zhang, Dong Yan ^a,b,c   Wang, Ji Hua ^b   Yang, Gui Jun ^b   Yang, Hao ^b   Craig, Coburn ^d   Wong, Zhijie ^d   Wang, Da Cheng ^c  

^a ANHUI UNIVERSITY   (China)

^b INSTITUTE OF PLANT AND ENVIRONMENT PROTECTION   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d UNIVERSITY OF LETHBRIDGE   (Canada)

Author keywords

ACRM model; Chlorophyll content; Hot dark spot; Multi angular imaging; Vegetation index

Indexed keywords

COMPUTER SIMULATION; CROPS; INDEPENDENT COMPONENT ANALYSIS; REMOTE SENSING; SPECTROSCOPY;

ACQUISITION SYSTEMS; CHLOROPHYLL CONTENTS; HOT-DARK-SPOT; HYPER-SPECTRAL IMAGERIES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE DATAS; MAIZE GROWTH PERIODS; VEGETATION INDEX;

CHLOROPHYLL;

CHLOROPHYLL;

CHEMISTRY; CROP; MAIZE; PLANT LEAF; SPECTROSCOPY; THEORETICAL MODEL;

CHLOROPHYLL; CROPS, AGRICULTURAL; MODELS, THEORETICAL; PLANT LEAVES; SPECTRUM ANALYSIS; ZEA MAYS;

EID: 84902508081     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2014)06-1599-06     Document Type: Article

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