Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/93710 |
Resumo: | Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies |
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7160 |
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Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, SudanFlood Hazard MappingFlood Risk AssessmentRemote SensingLand Cover Land UseDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesThe state of Khartoum being the most populated state in Sudan, faces the consequences of floods recurrence almost annually during rainy season. Policy makers and on ground NGOs need to tackle the hazard of floods in an effective and efficient manner. Recent research demonstrated the capabilities and potentials of remote sensing in flood hazard and risk mapping. This study aims to map flood hazard and assess the risk of floods in state of Khartoum, Sudan. In order to identify the flood hazard in state counties, an inundation indicator is used, namely the relative frequency of inundation (RFI). Flood events that occurred from 1988 to 2018 were mapped using Landsat satellite images, and maximum flood extent was then delineated. RFI was obtained using maximum flood extent maps and served as the flood hazard map. We developed a Land Cover Land Use (LCLU) map using Landsat 8 to identify affected urban and croplands areas in the state of Khartoum. RFI values was used along with LCLU map to assess state counties, and to assess the vulnerability of public facilities (health and educational facilities) using zonal statistics. It was demonstrated that, in terms of average RFI values for LCLU classes per county, croplands had the highest flood hazard, and Urban areas carried a relatively moderate flood hazard. The results of this study indicate that croplands on the riverbanks are the most inundated areas in the state of Khartoum, and the most urbanized counties have the highest flood hazard.Costa, Ana Cristina Marinho daPla Bañón, FilibertoPainho, Marco Octávio TrindadeRUNKhairy, Abeer Awad Abdulmagied2020-03-03T15:30:08Z2020-02-272020-02-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/93710TID:202456935enginfo: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:RCAAP2024-03-11T04:41:59Zoai:run.unl.pt:10362/93710Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:49.609138Repositório 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 |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan |
title |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan |
spellingShingle |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan Khairy, Abeer Awad Abdulmagied Flood Hazard Mapping Flood Risk Assessment Remote Sensing Land Cover Land Use |
title_short |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan |
title_full |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan |
title_fullStr |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan |
title_full_unstemmed |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan |
title_sort |
Spatiotemporal flood hazard and flood risk assessment using remote sensing techniques. Case study: Khartoum State, Sudan |
author |
Khairy, Abeer Awad Abdulmagied |
author_facet |
Khairy, Abeer Awad Abdulmagied |
author_role |
author |
dc.contributor.none.fl_str_mv |
Costa, Ana Cristina Marinho da Pla Bañón, Filiberto Painho, Marco Octávio Trindade RUN |
dc.contributor.author.fl_str_mv |
Khairy, Abeer Awad Abdulmagied |
dc.subject.por.fl_str_mv |
Flood Hazard Mapping Flood Risk Assessment Remote Sensing Land Cover Land Use |
topic |
Flood Hazard Mapping Flood Risk Assessment Remote Sensing Land Cover Land Use |
description |
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-03T15:30:08Z 2020-02-27 2020-02-27T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/93710 TID:202456935 |
url |
http://hdl.handle.net/10362/93710 |
identifier_str_mv |
TID:202456935 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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 |
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1799137995086888960 |