A novel two-step method for winter wheat-leaf chlorophyll content estimation using a hyperspectral vegetation index

International Journal of Remote Sensing

Volumn 35, Issue 21, 2014, Pages 7363-7375

  Jiao, Quanjun ^a   Zhang, Bing ^a   Liu, Jiangui ^b   Liu, Liangyun ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b OTTAWA RESEARCH AND DEVELOPMENT CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; IMAGE ENHANCEMENT; MEAN SQUARE ERROR; OPTICAL IMAGE STORAGE; PIXELS; REMOTE SENSING; SPECTROSCOPY; TABLE LOOKUP; VEGETATION;

AGRICULTURAL MANAGEMENT; AIRBORNE HYPERSPECTRAL DATA; FRACTIONAL VEGETATION COVER; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL VEGETATION INDICES; LEAF CHLOROPHYLL CONTENT; REMOTE SENSING ESTIMATIONS; ROOT MEAN SQUARE ERRORS;

CHLOROPHYLL;

CHLOROPHYLL; ESTIMATION METHOD; LEAF; PIXEL; VEGETATION COVER; VEGETATION INDEX; WHEAT;

TRITICUM AESTIVUM;

EID: 84915795174     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/2150704X.2014.968681     Document Type: Article

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