Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
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/ijgi4031750 |
Resumo: | Megahed, Y., Cabral, P., Silva, J., & Caetano, M. (2015). Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt. ISPRS International Journal of Geo-Information, 4(3), 1750-1769. https://doi.org/10.3390/ijgi4031750 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-EgyptCultural heritageSupport vector machinesUrban growth modelingUrban growth patternEarth and Planetary Sciences (miscellaneous)Computers in Earth SciencesGeography, Planning and DevelopmentSDG 11 - Sustainable Cities and CommunitiesSDG 15 - Life on LandMegahed, Y., Cabral, P., Silva, J., & Caetano, M. (2015). Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt. ISPRS International Journal of Geo-Information, 4(3), 1750-1769. https://doi.org/10.3390/ijgi4031750This study modeled the urban growth in the Greater Cairo Region (GCR), one of the fastest growing mega cities in the world, using remote sensing data and ancillary data. Three land use land cover (LULC) maps (1984, 2003 and 2014) were produced from satellite images by using Support Vector Machines (SVM). Then, land cover changes were detected by applying a high level mapping technique that combines binary maps (change/no-change) and post classification comparison technique. The spatial and temporal urban growth patterns were analyzed using selected statistical metrics developed in the FRAGSTATS software. Major transitions to urban were modeled to predict the future scenarios for year 2025 using Land Change Modeler (LCM) embedded in the IDRISI software. The model results, after validation, indicated that 14% of the vegetation and 4% of the desert in 2014 will be urbanized in 2025. The urban areas within a 5-km buffer around: the Great Pyramids, Islamic Cairo and Al-Baron Palace were calculated, highlighting an intense urbanization especially around the Pyramids; 28% in 2014 up to 40% in 2025. Knowing the current and estimated urbanization situation in GCR will help decision makers to adjust and develop new plans to achieve a sustainable development of urban areas and to protect the historical locations.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNMegahed, YasmineCabral, PedroSilva, JoelCaetano, Mário2017-12-28T23:02:21Z2015-09-012015-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttps://doi.org/10.3390/ijgi4031750engPURE: 2137277http://www.scopus.com/inward/record.url?scp=84949008960&partnerID=8YFLogxKhttps://doi.org/10.3390/ijgi4031750info: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:RCAAP2024-03-11T04:14:27Zoai:run.unl.pt:10362/27378Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:28:40.225066Repositório 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 |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt |
title |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt |
spellingShingle |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt Megahed, Yasmine Cultural heritage Support vector machines Urban growth modeling Urban growth pattern Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geography, Planning and Development SDG 11 - Sustainable Cities and Communities SDG 15 - Life on Land |
title_short |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt |
title_full |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt |
title_fullStr |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt |
title_full_unstemmed |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt |
title_sort |
Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt |
author |
Megahed, Yasmine |
author_facet |
Megahed, Yasmine Cabral, Pedro Silva, Joel Caetano, Mário |
author_role |
author |
author2 |
Cabral, Pedro Silva, Joel Caetano, Mário |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Megahed, Yasmine Cabral, Pedro Silva, Joel Caetano, Mário |
dc.subject.por.fl_str_mv |
Cultural heritage Support vector machines Urban growth modeling Urban growth pattern Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geography, Planning and Development SDG 11 - Sustainable Cities and Communities SDG 15 - Life on Land |
topic |
Cultural heritage Support vector machines Urban growth modeling Urban growth pattern Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences Geography, Planning and Development SDG 11 - Sustainable Cities and Communities SDG 15 - Life on Land |
description |
Megahed, Y., Cabral, P., Silva, J., & Caetano, M. (2015). Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt. ISPRS International Journal of Geo-Information, 4(3), 1750-1769. https://doi.org/10.3390/ijgi4031750 |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-09-01 2015-09-01T00:00:00Z 2017-12-28T23:02:21Z |
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/ijgi4031750 |
url |
https://doi.org/10.3390/ijgi4031750 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PURE: 2137277 http://www.scopus.com/inward/record.url?scp=84949008960&partnerID=8YFLogxK https://doi.org/10.3390/ijgi4031750 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
20 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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1799137912083709952 |