Crop classification of upland fields using Random forest of time-series Landsat 7 ETM+ data

Computers and Electronics in Agriculture

Volumn 115, Issue , 2015, Pages 171-179

  Tatsumi, Kenichi ^a   Yamashiki, Yosuke ^b   Canales Torres, Miguel Angel ^c   Taipe, Cayo Leonidas Ramos ^c  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

^b KYOTO UNIVERSITY   (Japan)

^c UNIVERSIDAD NACIONAL AGRARIA LA MOLINA   (Peru)

Author keywords

Crop classification; Enhanced vegetation index; Landsat 7 ETM+; Random forest; Upland field

Indexed keywords

CROPS; DECISION TREES; FORESTRY; FRUITS; IMAGE RESOLUTION; INFORMATION DISSEMINATION; LAND USE; MAPPING; OPEN SOURCE SOFTWARE; OPEN SYSTEMS; SOFTWARE ENGINEERING; TIME SERIES; VEGETATION;

CROP CLASSIFICATION; ENHANCED VEGETATION INDEX; LANDSAT-7 ETM; RANDOM FORESTS; UPLAND FIELD;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; COMPUTER SIMULATION; DATA SET; ECOLOGICAL MODELING; LAND COVER; LANDSAT THEMATIC MAPPER; PHENOLOGY; PLANT COMMUNITY; SATELLITE DATA; SOFTWARE; SPATIOTEMPORAL ANALYSIS; TIME SERIES ANALYSIS; UPLAND REGION; VEGETATION CLASSIFICATION; VEGETATION INDEX;

ASPARAGUS; GOSSYPIUM HIRSUTUM; LYCOPERSICON ESCULENTUM; MEDICAGO SATIVA; PERSEA AMERICANA; VITACEAE; ZEA MAYS;

EID: 84931270718     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2015.05.001     Document Type: Article

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