Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data

International Journal of Remote Sensing

Volumn 35, Issue 16, 2014, Pages 6076-6088

  Li, Qiangzi ^a   Cao, Xin ^a   Jia, Kun ^b   Zhang, Miao ^a   Dong, Qinghan ^c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

^c FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; CULTIVATION; FOOD SUPPLY; IMAGE ENHANCEMENT; IMAGE RESOLUTION; MAXIMUM LIKELIHOOD ESTIMATION; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; TIME SERIES; VEGETATION;

CLASSIFICATION ACCURACY; HIGH SPATIAL RESOLUTION; IDENTIFICATION ACCURACY; LANDSAT THEMATIC MAPPER; MAXIMUM LIKELIHOOD CLASSIFIERS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDEX; UNITED STATES DEPARTMENT OF AGRICULTURES;

DATA INTEGRATION;

AGRICULTURAL APPLICATION; CROP PRODUCTION; CROP YIELD; IMAGE ANALYSIS; LANDSAT THEMATIC MAPPER; MODIS; MULTISPECTRAL IMAGE; NDVI; SPATIAL RESOLUTION; TIME SERIES ANALYSIS; VEGETATION COVER; VEGETATION DYNAMICS;

UNITED STATES;

EID: 85027932499     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.943325     Document Type: Article

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