Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas

Remote Sensing of Environment

Volumn 187, Issue , 2016, Pages 156-168

  Pelletier, Charlotte ^a   Valero, Silvia ^a   Inglada, Jordi ^a   Champion, Nicolas ^b   Dedieu, Gérard ^a  

^a CESBIO   (France)

^b UNIVERSITÉ PARIS EST   (France)

Author keywords

High resolution; Land cover mapping; Random forest; Satellite image time series; Sentinel 2; Temporal features

Indexed keywords

DECISION TREES; ECONOMIC AND SOCIAL EFFECTS; INPUT OUTPUT PROGRAMS; MAPPING; REMOTE SENSING; SATELLITES; SUPPORT VECTOR MACHINES; TIME SERIES;

HIGH RESOLUTION; LAND COVER MAPPING; RANDOM FORESTS; SATELLITE IMAGES; SENTINEL-2; TEMPORAL FEATURES;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ALGORITHM; IMAGE CLASSIFICATION; IMAGE RESOLUTION; LAND COVER; MAPPING; NUMERICAL METHOD; REMOTE SENSING; SATELLITE DATA; SENSOR; SENTINEL; SUPPORT VECTOR MACHINE; TEMPORAL ANALYSIS; TIME SERIES;

EID: 84992151859     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.10.010     Document Type: Article

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