How much does multi-temporal Sentinel-2 data improve crop type classification?

International Journal of Applied Earth Observation and Geoinformation

Volumn 72, Issue , 2018, Pages 122-130

  Vuolo, Francesco ^a   Neuwirth, Martin ^a   Immitzer, Markus ^a   Atzberger, Clement ^a   Ng, Wai Tim ^a  

^a UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

Crop type; Multi temporal classification; Random forest; Sentinel 2

Indexed keywords

ACCURACY ASSESSMENT; ALGORITHM; CLASSIFICATION; CROP; DATA ACQUISITION; DATA SET; NUMERICAL MODEL; SATELLITE DATA; SENTINEL;

AUSTRIA;

EID: 85051638516     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2018.06.007     Document Type: Article

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