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Assessing the influence of uncertainty in land cover mapping and digital elevation models on flood risk mapping

2014-07Conference paper Open access
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosCiências Sociais::Geografia Económica e Social
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorGonçalves, Luísa M.S.
dc.contributor.authorFonte, Cidália C.
dc.contributor.authorGomes, Ricardo
dc.date.accessioned2025-07-01T11:20:32Z
dc.date.available2025-07-01T11:20:32Z
dc.date.issued2014-07
dc.description11th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2014, East Lansing, 8 July 2014 through 11 July 2014 - Code 123763
dc.descriptionhttps://scholar.google.com/scholar?q=Assessing%20the%20influence%20of%20uncertainty%20in%20land%20cover%20mapping%20and%20digital%20elevation%20models%20on%20flood%20risk%20mapping
dc.description.abstractThis paper proposes an approach to assess the influence of the uncertainty present in the parameters dependent on the land cover and elevation data over the peak flow values and the subsequent delineation of flooded areas. The proposed approach was applied to produce vulnerability and risk maps that integrate uncertainty for the urban area of Leiria, Portugal. A SPOT-4 satellite image and DEMs of the region were used. The peak flow was computed using the Soil Conservation Service method and HECHMS, HEC-RAS, Matlab and ArcGIS software programs were used. The analysis of the results obtained for the presented case study enables the identification of the order of magnitude of uncertainty associated to the watershed peak flow value and the identification of the areas which are more susceptible to flood risk to be identified.eng
dc.description.sponsorshipLuisa M. S. Gonçalves and Cidália C. Fonte work was partially supported by the Portuguese Foundation for Science and Technology under project grant PEst-OE/EEI/UI308/2014.
dc.identifier.citationGONÇALVES, L. M., FONTE, C. C., & GOMES, R. Assessing the influence of uncertainty in land cover mapping and digital elevation models on flood risk mapping.
dc.identifier.urihttp://hdl.handle.net/10400.8/13482
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInternational Spatial Accuracy Research Association (ISARA)
dc.rights.uriN/A
dc.subjectUncertainty
dc.subjectWatershed Peak flow
dc.subjectDigital Elevation Model
dc.subjectMultispectral Images
dc.subjectFlood Risk Map
dc.titleAssessing the influence of uncertainty in land cover mapping and digital elevation models on flood risk mappingeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2014-07
oaire.citation.conferencePlaceEast Lansing, Michigan, United States
oaire.citation.title11th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2014
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNameGonçalves
person.familyNameJesus Gomes
person.givenNameLuisa
person.givenNameRicardo
person.identifierhttps://scholar.google.pt/citations?user=8zS8MIUAAAAJ&hl=pt-PT
person.identifier.ciencia-id9116-82A0-3060
person.identifier.ciencia-id5C1B-DC9B-FAEB
person.identifier.orcid0000-0002-6265-8903
person.identifier.orcid0000-0002-6375-7014
person.identifier.ridU-1298-2017
person.identifier.scopus-author-id35145815700
relation.isAuthorOfPublication1ba44699-bdda-4e01-97ec-c02fe603afc5
relation.isAuthorOfPublication6e5d4b0c-37b3-4f5e-9d20-d4ec9e4346a3
relation.isAuthorOfPublication.latestForDiscovery1ba44699-bdda-4e01-97ec-c02fe603afc5

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This paper proposes an approach to assess the influence of the uncertainty present in the parameters dependent on the land cover and elevation data over the peak flow values and the subsequent delineation of flooded areas. The proposed approach was applied to produce vulnerability and risk maps that integrate uncertainty for the urban area of Leiria, Portugal. A SPOT-4 satellite image and DEMs of the region were used. The peak flow was computed using the Soil Conservation Service method and HECHMS, HEC-RAS, Matlab and ArcGIS software programs were used. The analysis of the results obtained for the presented case study enables the identification of the order of magnitude of uncertainty associated to the watershed peak flow value and the identification of the areas which are more susceptible to flood risk to be identified.
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