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Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt

2015-09-01Artigo científico Acesso aberto
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dc.contributor.authorMegahed, Yasmine
dc.contributor.authorCabral, Pedro
dc.contributor.authorSilva, Joel
dc.contributor.authorCaetano, Mário
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2017-12-28T23:02:21Z
dc.date.available2017-12-28T23:02:21Z
dc.date.issued2015-09-01
dc.descriptionMegahed, 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
dc.description.abstractThis 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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent20
dc.format.extent961880
dc.identifier.doi10.3390/ijgi4031750
dc.identifier.otherPURE: 2137277
dc.identifier.otherPURE UUID: ae420e78-cdc4-47c3-8e8f-a050a94b174e
dc.identifier.otherScopus: 84949008960
dc.identifier.otherWOS: 000364411500036
dc.identifier.otherORCID: /0000-0001-8622-6008/work/46764267
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=84949008960&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/84949008960
dc.language.isoeng
dc.peerreviewedyes
dc.subjectCultural heritage
dc.subjectSupport vector machines
dc.subjectUrban growth modeling
dc.subjectUrban growth pattern
dc.subjectEarth and Planetary Sciences (miscellaneous)
dc.subjectComputers in Earth Sciences
dc.subjectGeography, Planning and Development
dc.subjectSDG 11 - Sustainable Cities and Communities
dc.subjectSDG 15 - Life on Land
dc.titleLand cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypten
dc.typejournal article
degois.publication.firstPage1750
degois.publication.issue3
degois.publication.lastPage1769
degois.publication.titleISPRS International Journal of Geo-Information
degois.publication.volume4
dspace.entity.typePublication
rcaap.rightsopenAccess

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