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Comparison of ratioing and RCNA methods in the detection of flooded areas using Sentinel 2 Imagery (case study: Tulun, Russia)

2023-06-28Journal article Open access
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dc.contributor.authorFernandez, Helena Maria
dc.contributor.authorGranja-Martins, Fernando M.
dc.contributor.authorDziuba, Olga
dc.contributor.authorPereira, David A. B.
dc.contributor.authorIsidoro, Jorge M. G. P.
dc.date.accessioned2023-07-27T14:55:19Z
dc.date.available2023-07-27T14:55:19Z
dc.date.issued2023-06-28
dc.date.updated2023-07-13T14:07:05Z
dc.description.abstractClimate change and natural disasters caused by hydrological, meteorological, and climatic phenomena have a significant impact on cities. Russia, a continental country with a vast territory of complex geographic–ecological environments and highly variable climatic conditions, is subject to substantial and frequent natural disasters. On 29 June 2019, an extreme precipitation event occurred in the city of Tulun in the Irkutsk oblast, Russian Federation, which caused flooding due to the increase in the water level of the Iya River that passes through the city, leaving many infrastructures destroyed and thousands of people affected. This study aims to determine the flooded areas in the city of Tulun based on two change detection methods: Radiometric Rotation Controlled by No-change Axis (<i>RCNA</i>) and <i>Ratioing</i>, using Sentinel 2 images obtained before the event (19 June 2019) and during the flood peak (29 June 2019). The results obtained by the two methodologies were compared through cross-classification, and a 98% similarity was found in the classification of the areas. The study was validated based on photointerpretation of Google Earth images. The methodology presented proved to be useful for the automatic precession of flooded areas in a straightforward, but rigorous, manner. This allows stakeholders to efficiently manage areas that are buffeted by flooding episodes.pt_PT
dc.description.sponsorshipLA/P/0069/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifierdoi: 10.3390/su151310233
dc.identifier.citationSustainability 15 (13): 10233 (2023)pt_PT
dc.identifier.doi10.3390/su151310233pt_PT
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10400.1/19881
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationMarine and Environmental Sciences Centre
dc.relationMarine and Environmental Sciences Centre
dc.relationResearch Centre for Tourism, Sustainability and Well-being
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectUrban floodspt_PT
dc.subjectRadiometric rotation controlled by No-change Axis (RCNA)pt_PT
dc.subjectRatioingpt_PT
dc.subjectRemote sensingpt_PT
dc.subjectTulunpt_PT
dc.titleComparison of ratioing and RCNA methods in the detection of flooded areas using Sentinel 2 Imagery (case study: Tulun, Russia)pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardTitleResearch Centre for Tourism, Sustainability and Well-being
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04020%2F2020/PT
oaire.citation.issue13pt_PT
oaire.citation.startPage10233pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume15pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMaria Neto Paixão Vazquez Fernandez Martins
person.familyNameGranja Martins
person.familyNamePereira
person.familyNameIsidoro
person.givenNameHelena
person.givenNameFernando Miguel
person.givenNameDavid
person.givenNameJorge
person.identifierR-001-Y1F
person.identifier2968220
person.identifierR-000-7SY
person.identifier.ciencia-idC010-F769-4244
person.identifier.ciencia-idE31E-E89E-38CE
person.identifier.ciencia-idE81F-7E1C-7484
person.identifier.ciencia-idA617-A962-DE4F
person.identifier.orcid0000-0002-3677-1064
person.identifier.orcid0000-0002-2709-804X
person.identifier.orcid0000-0003-2398-739X
person.identifier.orcid0000-0002-6901-5652
person.identifier.ridD-5675-2017
person.identifier.ridQ-8320-2016
person.identifier.ridN-1814-2015
person.identifier.scopus-author-id56609809200
person.identifier.scopus-author-id55250130500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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