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Local climate zones datasets from five Southern European cities: Copernicus based classification maps of Athens, Barcelona, Lisbon, Marseille and Naples

2020Journal article Open access
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dc.contributor.authorOliveira, Ana
dc.contributor.authorLopes, António
dc.contributor.authorNiza, Samuel
dc.date.accessioned2020-12-21T10:40:37Z
dc.date.available2020-12-21T10:40:37Z
dc.date.issued2020
dc.description.abstractHere, we provide Local Climate Zones (LCZ) map datasets from five Southern European Mediterranean cities: Athens (Greece), Barcelona (Spain), Lisbon (Portugal), Marseille (France) and Naples (Italy). The maps were produced according to a geographic information system (GIS)-based classification method, using freely available Copernicus Land Monitoring Service (CLMS) input data. Several maps are provided: (i) five LCZv1 maps (one per city) depicting urban LCZ's aggregated by density (no building height information); (ii) five LCZv1_leaf maps (one per city), identical to the previously mentioned ones, with tree cover LCZ classes A and B reclassification according to the Dominant Leaf Type (DLT) (deciduous or coniferous); (iii) two LCZv1_BH maps (Athens and Lisbon) distinguishing urban LCZ classes 123 and 456 according to the dominant building height (BH); and (iv) two LCZv1_leaf_BH maps (Athens and Lisbon) identical to the previous ones with added DLT-based land cover classification. The LCZ classification maps are available in both ArcGIS .lyr layer and GeoTIFF raster formats (Appendix 1 and 2), with a spatial resolution of 50×50m pixels, and are suitable to urban climate-related studies, particularly at the metropolitan and city scales of analysis. The data here provided is related to the article entitled «Local Climate Zones in five Southern European cities: an improved GIS-based classification method based on free data from the Copernicus Land Monitoring Service» [1], and the corresponding method/ArcGIS based custom Toolbox is freely available in «Local Climate Zones classification from Copernicus Land Monitoring Service datasets: an ArcGIS-based Toolbox» [2].pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationOliveira, A., Lopes, A., Niza, S. (2020). Local climate zones datasets from five Southern European cities: Copernicus based classification maps of Athens, Barcelona, Lisbon, Marseille and Naples. Data in Brief, 31, 105802. https://doi.org/10.1016/j.dib.2020.105802pt_PT
dc.identifier.doi10.1016/j.dib.2020.105802pt_PT
dc.identifier.issn2352-3409
dc.identifier.urihttp://hdl.handle.net/10451/45466
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNCBIpt_PT
dc.relationSUSTAINABLE ENERGY SISTEMS
dc.relation.publisherversionhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298643/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectLocal climate zones (LCZ)pt_PT
dc.subjectUrban atlaspt_PT
dc.subjectCopernicus land monitoring servicept_PT
dc.subjectSouthern European Citiespt_PT
dc.subjectUrban climatept_PT
dc.titleLocal climate zones datasets from five Southern European cities: Copernicus based classification maps of Athens, Barcelona, Lisbon, Marseille and Naplespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSUSTAINABLE ENERGY SISTEMS
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//PD%2FBD%2F52304%2F2013/PT
oaire.citation.startPage105802pt_PT
oaire.citation.titleData in Briefpt_PT
oaire.citation.volume31pt_PT
person.familyNameLopes
person.givenNameAntónio
person.identifier216928
person.identifier.ciencia-id1D15-FB93-4687
person.identifier.orcid0000-0002-9357-7639
person.identifier.ridF-3217-2010
person.identifier.scopus-author-id55951850000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication5ec106ce-350f-4b1b-aed6-1acd9f11f7f1
relation.isAuthorOfPublication.latestForDiscovery5ec106ce-350f-4b1b-aed6-1acd9f11f7f1
relation.isProjectOfPublication900f4f68-aa3c-4f8d-b16b-47c34c55a71f
relation.isProjectOfPublication.latestForDiscovery900f4f68-aa3c-4f8d-b16b-47c34c55a71f

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