Automatic Extraction and Filtering of OpenStreetMap Data to Generate Training Datasets for Land Use Land Cover Classification

This paper tests an automated methodology for generating training data from OpenStreetMap (OSM) to classify Sentinel-2 imagery into Land Use/Land Cover (LULC) classes. Di erent sets of training data were generated and used as inputs for the image classification. Firstly, OSM data was converted into...

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Detalhes bibliográficos
Autor principal: Fonte, Cidália C. (author)
Outros Autores: Patriarca, Joaquim (author), Jesus, Ismael (author), Duarte, Diogo (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
land use land cover
training data
OpenStreetMap
Sentinel-2
COS (Carta de Ocupação do Solo)
volunteered geographical information (VGI)
Texto completo:http://hdl.handle.net/10316/101317
País:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/101317

Texto Completo

http://hdl.handle.net/10316/101317

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