A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap

Mapping is fundamental to studies on urban green space (UGS). Despite a growing archive of land cover maps (where UGS is included) at global and regional scales, mapping efforts dedicated to UGS are still limited. As UGS is often a part of the heterogenous urban landscape, low-resolution land cover...

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Detalles Bibliográficos
Autor: Ju, Y; Dronova, I; Delclos-Alio, X
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universitat Rovira i virgili (URV)
Repositorio:Repositori Institucional de la Universitat Rovira i Virgili
OAI Identifier:oai:dnet:repositoriin::fa6057fb387210cfb9ba7ff767ec7c33
Acceso en línea:https://hdl.handle.net/20.500.11797/imarina9282452
Access Level:acceso abierto
Palabra clave:Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty
Classification
Land
Metaanalysis
Administração pública e de empresas, ciências contábeis e turismo
Ciências ambientais
Ciencias humanas
Ciencias sociales
Computer science applications
Education
Information systems
Library and information sciences
Multidisciplinary sciences
Statistics and probability
Statistics, probability and uncertainty
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oai_identifier_str oai:dnet:repositoriin::fa6057fb387210cfb9ba7ff767ec7c33
network_acronym_str ES
network_name_str España
repository_id_str
spelling A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMapJu, Y; Dronova, I; Delclos-Alio, XComputer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and UncertaintyClassificationLandMetaanalysisAdministração pública e de empresas, ciências contábeis e turismoCiências ambientaisCiencias humanasCiencias socialesComputer science applicationsEducationInformation systemsLibrary and information sciencesMultidisciplinary sciencesStatistics and probabilityStatistics, probability and uncertaintyMapping is fundamental to studies on urban green space (UGS). Despite a growing archive of land cover maps (where UGS is included) at global and regional scales, mapping efforts dedicated to UGS are still limited. As UGS is often a part of the heterogenous urban landscape, low-resolution land cover maps from remote sensing images tend to confuse UGS with other land covers. Here we produced the first 10 m resolution UGS map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite images and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87. We further improved mapping quality through a visual inspection and additional quality control of the samples. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies on the relationship between UGS and human exposures to environmental hazards, public health outcomes, urban ecology, and urban planning.GeografiaUniversitat Rovira i Virgili2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://hdl.handle.net/20.500.11797/imarina9282452Scientific Datahttps://www.nature.com/articles/s41597-022-01701-y10.1038/s41597-022-01701-yScientific Data. 9 (1): 586-reponame:Repositori Institucional de la Universitat Rovira i Virgiliinstname:Universitat Rovira i virgili (URV)Inglésinfo:eu-repo/semantics/openAccessoai:dnet:repositoriin::fa6057fb387210cfb9ba7ff767ec7c332026-06-23T12:42:27Z
dc.title.none.fl_str_mv A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
title A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
spellingShingle A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
Ju, Y; Dronova, I; Delclos-Alio, X
Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty
Classification
Land
Metaanalysis
Administração pública e de empresas, ciências contábeis e turismo
Ciências ambientais
Ciencias humanas
Ciencias sociales
Computer science applications
Education
Information systems
Library and information sciences
Multidisciplinary sciences
Statistics and probability
Statistics, probability and uncertainty
title_short A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
title_full A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
title_fullStr A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
title_full_unstemmed A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
title_sort A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap
dc.creator.none.fl_str_mv Ju, Y; Dronova, I; Delclos-Alio, X
author Ju, Y; Dronova, I; Delclos-Alio, X
author_facet Ju, Y; Dronova, I; Delclos-Alio, X
author_role author
dc.contributor.none.fl_str_mv Geografia
Universitat Rovira i Virgili
dc.subject.none.fl_str_mv Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty
Classification
Land
Metaanalysis
Administração pública e de empresas, ciências contábeis e turismo
Ciências ambientais
Ciencias humanas
Ciencias sociales
Computer science applications
Education
Information systems
Library and information sciences
Multidisciplinary sciences
Statistics and probability
Statistics, probability and uncertainty
topic Computer Science Applications,Education,Information Systems,Library and Information Sciences,Multidisciplinary Sciences,Statistics and Probability,Statistics, Probability and Uncertainty
Classification
Land
Metaanalysis
Administração pública e de empresas, ciências contábeis e turismo
Ciências ambientais
Ciencias humanas
Ciencias sociales
Computer science applications
Education
Information systems
Library and information sciences
Multidisciplinary sciences
Statistics and probability
Statistics, probability and uncertainty
description Mapping is fundamental to studies on urban green space (UGS). Despite a growing archive of land cover maps (where UGS is included) at global and regional scales, mapping efforts dedicated to UGS are still limited. As UGS is often a part of the heterogenous urban landscape, low-resolution land cover maps from remote sensing images tend to confuse UGS with other land covers. Here we produced the first 10 m resolution UGS map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite images and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87. We further improved mapping quality through a visual inspection and additional quality control of the samples. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies on the relationship between UGS and human exposures to environmental hazards, public health outcomes, urban ecology, and urban planning.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.11797/imarina9282452
url https://hdl.handle.net/20.500.11797/imarina9282452
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scientific Data
https://www.nature.com/articles/s41597-022-01701-y
10.1038/s41597-022-01701-y
Scientific Data. 9 (1): 586-
reponame:Repositori Institucional de la Universitat Rovira i Virgili
instname:Universitat Rovira i virgili (URV)
instname_str Universitat Rovira i virgili (URV)
reponame_str Repositori Institucional de la Universitat Rovira i Virgili
collection Repositori Institucional de la Universitat Rovira i Virgili
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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