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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Bibliographic Details
Main Author: Fonte, Cidália C. (author)
Other Authors: Patriarca, Joaquim (author), Jesus, Ismael (author), Duarte, Diogo (author)
Format: article
Language:eng
Published: 2020
Subjects:
land use land cover
training data
OpenStreetMap
Sentinel-2
COS (Carta de Ocupação do Solo)
volunteered geographical information (VGI)
Online Access:http://hdl.handle.net/10316/101317
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/101317

Internet

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

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