A new approach for crop identification with wavelet variance and JM distance

Environmental Monitoring and Assessment

Volumn 186, Issue 11, 2014, Pages 7929-7940

  Qiu, Bingwen ^a   Fan, Zhanling ^a   Zhong, Ming ^a   Tang, Zhenghong ^b   Chen, Chongcheng ^a  

^a FUZHOU UNIVERSITY   (China)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Continuous wavelet transform; Crop mapping; JM distance; SAWV; TAWV

Indexed keywords

AGRICULTURAL ROBOTS; CROPS; LAND USE; MAPPING; RADIOMETERS; VEGETATION; WAVELET ANALYSIS;

CONTINUOUS WAVELET TRANSFORM; CROP MAPPING; J-M DISTANCES; SAWV; TAWV;

WAVELET TRANSFORMS;

AGRICULTURAL LAND; CROP; DATA SET; LAND COVER; LAND USE; MAPPING METHOD; MODIS; PIXEL; TIME SERIES; TRANSFORM; VEGETATION INDEX;

ACCURACY; AGRICULTURAL PARAMETERS; AGRICULTURAL PROCEDURES; ARTICLE; CHINA; COMPOSITE MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; CROP IDENTIFICATION; ENHANCED VEGETATION INDEX; JEFFRIES MATUSITA DISTANCE; KAPPA STATISTICS; LAND USE; MAIZE; NONHUMAN; RADIATION DETECTOR; VEGETATION; WAVELET VARIANCE; WHEAT; CLASSIFICATION; CROP; ENVIRONMENTAL MONITORING; GROWTH, DEVELOPMENT AND AGING; MEXICO; PROCEDURES; REMOTE SENSING;

CHINA; GANSU; HEXI CORRIDOR;

CHINA; CROPS, AGRICULTURAL; ENVIRONMENTAL MONITORING; MEXICO; REMOTE SENSING TECHNOLOGY;

EID: 84910009787     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-014-3977-1     Document Type: Article

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