Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/92875
DC FieldValueLanguage
dc.contributor.authorPatriarca, J.-
dc.contributor.authorFonte, C. C.-
dc.contributor.authorEstima, J.-
dc.contributor.authorAlmeida, J.-P. de-
dc.contributor.authorCardoso, A.-
dc.date.accessioned2021-02-10T09:58:17Z-
dc.date.available2021-02-10T09:58:17Z-
dc.date.issued2019-12-
dc.identifier.issn2363-7501pt
dc.identifier.otherBASE:eb38ff265e19a046f7355af274c4abab2281454725b172434c66e3cb164c3834-
dc.identifier.urihttps://hdl.handle.net/10316/92875-
dc.description.abstractOSM2LULC is a software package developed to automatically convert OpenStreetMap (OSM) data into Land Use Land Cover (LULC) maps using Free and Open Source Software for Geospatial (FOSS4G) tools. It needs to be highly efficient given the increasing detail of OSM data and the need to apply it to large extent regions. In this article, a comparison between the implementation of OSM2LULC in different available GIS platforms is made using both vector and raster data structures, which resulted in different versions. A description of the differences of each version is made and, to assess their performance, they were applied to four different study areas with different characteristics, in terms of available OSM data and area size. The performance of each version was evaluated taking into account: the overall processing time required to obtain LULC maps; and differences in the results obtained when different data structures (vector and raster) were used. Results showed that the adoption of a strategy that favors interoperability between FOSS4G and the combined use of both vector and raster data promotes a performance increase. After analysing the topological relationships of OSM data, the conversion to raster data format and the execution of procedural parts with such data indicated significant performance gains, without any positional distortions that significantly compromise the applicability of the final result in further case scenarios.pt
dc.language.isoengpt
dc.publisherSpringer Naturept
dc.relationUID/MULTI/ 00308/2019pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectGIS performancept
dc.subjectFOSS4Gpt
dc.subjectInteroperabilitypt
dc.subjectOSM to LULCpt
dc.titleAutomatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performancept
dc.typearticlept
degois.publication.firstPage1pt
degois.publication.lastPage19pt
degois.publication.titleOpen Geospatial Data, Software and Standardspt
dc.date.updated2021-02-09T16:18:27Z-
dc.peerreviewedyespt
dc.identifier.doi10.1186/s40965-019-0070-2pt
degois.publication.volume4pt
dc.description.version031F-0B41-BD02 | José-Paulo Elvas DUARTE de ALMEIDA-
dc.description.versionN/A-
dc.identifier.slugcv-prod-1094644-
dc.date.embargo2019-12-01*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.orcid0000-0001-6517-3322-
crisitem.author.orcid0000-0001-9408-8100-
crisitem.author.orcid0000-0001-8837-4637-
crisitem.author.orcid0000-0002-2532-2466-
crisitem.author.orcid0000-0003-1824-1075-
crisitem.project.grantnoInstitute for Systems Engineering and Computers at Coimbra-
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais
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