National-scale cropland mapping based on spectral-temporal features and outdated land cover information

PLoS ONE

Volumn 12, Issue 8, 2017, Pages

  Waldner, François ^a   Hansen, Matthew C ^b   Potapov, Peter V ^b   Löw, Fabian ^c   Newby, Terence ^d   Ferreira, Stefanus ^e   Defourny, Pierre ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b UNIVERSITY OF MARYLAND   (United States)

^c MapTailor Geospatial Consulting   (Germany)

^d AGRICULTURAL RESEARCH COUNCIL   (South Africa)

^e GeoTerraImage   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLASSIFICATION; CONTROLLED STUDY; CROPLAND; FARMING SYSTEM; GEOGRAPHIC MAPPING; LAND USE; SATELLITE IMAGERY; SENSOR; SOUTH AFRICA; SPATIOTEMPORAL ANALYSIS; SUPERVISED MACHINE LEARNING; VEGETATION; CROP; GEOGRAPHIC INFORMATION SYSTEM; GEOGRAPHY; REPRODUCIBILITY; THEORETICAL MODEL;

CROPS, AGRICULTURAL; GEOGRAPHIC INFORMATION SYSTEMS; GEOGRAPHIC MAPPING; GEOGRAPHY; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS; SOUTH AFRICA;

EID: 85027548450     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0181911     Document Type: Article

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