A support vector machine to identify irrigated crop types using time-series Landsat NDVI data

International Journal of Applied Earth Observation and Geoinformation

Volumn 34, Issue 1, 2015, Pages 103-112

  Zheng, Baojuan ^a   Myint, Soe W ^a   Thenkabail, Prasad S ^b   Aggarwal, Rimjhim M ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

Author keywords

Crop classification; Landsat; NDVI; Support vector machines; SVM

Indexed keywords

ACCURACY ASSESSMENT; AGRICULTURAL LAND; ARID REGION; CROPPING PRACTICE; IDENTIFICATION METHOD; IMAGE CLASSIFICATION; IRRIGATION; LANDSAT; NDVI; SATELLITE DATA; SATELLITE IMAGERY; SEMIARID REGION; TIME SERIES; VEGETATION CLASSIFICATION;

EID: 84908440807     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.07.002     Document Type: Article

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