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Exploratory analysis of OpenStreetMap for land use classification

dc.contributor.authorEstima, Jacinto
dc.contributor.authorPainho, Marco
dc.date.accessioned2014-11-04T14:24:39Z
dc.date.available2014-11-04T14:24:39Z
dc.date.issued2013-11
dc.date.updated2014-11-03T15:55:28Z
dc.description.abstractIn the last years, volunteers have been contributing massively to what we know nowadays as Volunteered Geographic Information. This huge amount of data might be hiding a vast geographical richness and therefore research needs to be conducted to explore their potential and use it in the solution of real world problems. In this study we conduct an exploratory analysis of data from the OpenStreetMap initiative. Using the Corine Land Cover database as reference and continental Portugal as the study area, we establish a possible correspondence between both classification nomenclatures, evaluate the quality of OpenStreetMap polygon features classification against Corine Land Cover classes from level 1 nomenclature, and analyze the spatial distribution of OpenStreetMap classes over continental Portugal. A global classification accuracy around 76% and interesting coverage areas’ values are remarkable and promising results that encourages us for future research on this topic.por
dc.identifier.doi10.1145/2534732.2534734
dc.identifier.isbn978-1-4503-2528-8
dc.identifier.urihttp://hdl.handle.net/10362/13603
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherAssociation for Computing Machinery (ACM)por
dc.subjectVolunteered Geographic Informationpor
dc.subjectGISpor
dc.subjectOpenStreetMappor
dc.subjectLand usepor
dc.titleExploratory analysis of OpenStreetMap for land use classificationpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage46por
oaire.citation.startPage39por
oaire.citation.titleGEOCROWD '13 - Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Informationpor
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor

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