Quantifying the city's green area potential gain using remote sensing data

Detalhes bibliográficos
Autor(a) principal: Santos, Teresa
Data de Publicação: 2016
Outros Autores: Tenedório, José António, Gonçalves, José Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.3390/su8121247
Resumo: UID/SOC/04647/2013 SFRH/BPD/76893/2011
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network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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spelling Quantifying the city's green area potential gain using remote sensing dataGISGreen roofsGreen urban areasLiDARGeography, Planning and DevelopmentRenewable Energy, Sustainability and the EnvironmentManagement, Monitoring, Policy and LawSDG 7 - Affordable and Clean EnergySDG 11 - Sustainable Cities and CommunitiesUID/SOC/04647/2013 SFRH/BPD/76893/2011Information about green spaces available in a city is essential for urban planning. Urban green areas are generally assessed through environmental indicators that reflect the city's quality of life and urban comfort. A methodology based on 3D measure and analysis of green urban areas at the city scale is presented. Two products are proposed: (1) measuring current vegetation cover at ground level through object-oriented classification of WorldView-2 imagery; and (2) estimating potential green cover at rooftop level using 3D data obtained by LiDAR sensor. The methodology, implemented in Lisbon, Portugal, demonstrates that: (1) remote sensing imagery provides powerful tools for master planning and policy analysis regarding green urban area expansion; and (2) measures of urban sustainability cannot be solely based on indicators obtained from 2D geographical information. In fact, 2D urban indicators should be complemented by 3D modelling of geographic data.Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)RUNSantos, TeresaTenedório, José AntónioGonçalves, José Alberto2017-05-30T14:11:01Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttps://doi.org/10.3390/su8121247engPURE: 2382634http://www.scopus.com/inward/record.url?scp=85007290767&partnerID=8YFLogxKhttps://doi.org/10.3390/su8121247info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:07:21Zoai:run.unl.pt:10362/21082Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:26:37.636670Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Quantifying the city's green area potential gain using remote sensing data
title Quantifying the city's green area potential gain using remote sensing data
spellingShingle Quantifying the city's green area potential gain using remote sensing data
Santos, Teresa
GIS
Green roofs
Green urban areas
LiDAR
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
title_short Quantifying the city's green area potential gain using remote sensing data
title_full Quantifying the city's green area potential gain using remote sensing data
title_fullStr Quantifying the city's green area potential gain using remote sensing data
title_full_unstemmed Quantifying the city's green area potential gain using remote sensing data
title_sort Quantifying the city's green area potential gain using remote sensing data
author Santos, Teresa
author_facet Santos, Teresa
Tenedório, José António
Gonçalves, José Alberto
author_role author
author2 Tenedório, José António
Gonçalves, José Alberto
author2_role author
author
dc.contributor.none.fl_str_mv Centro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)
RUN
dc.contributor.author.fl_str_mv Santos, Teresa
Tenedório, José António
Gonçalves, José Alberto
dc.subject.por.fl_str_mv GIS
Green roofs
Green urban areas
LiDAR
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
topic GIS
Green roofs
Green urban areas
LiDAR
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Management, Monitoring, Policy and Law
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
description UID/SOC/04647/2013 SFRH/BPD/76893/2011
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2017-05-30T14:11:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.3390/su8121247
url https://doi.org/10.3390/su8121247
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv PURE: 2382634
http://www.scopus.com/inward/record.url?scp=85007290767&partnerID=8YFLogxK
https://doi.org/10.3390/su8121247
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 16
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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