Evaluation of annual mean shoreline position deduced from Landsat imagery as a mid-term coastal evolution indicator

dc.contributor.affiliationDepartamento de Matemática Aplicada
dc.contributor.affiliationDepartamento de Ingeniería Cartográfica Geodesia y Fotogrametría
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica
dc.contributor.affiliationGrupo de Cartografía Geoambiental y Teledetección
dc.contributor.authorAlmonacid Caballer, Jaimees_ES
dc.contributor.authorSánchez García, Elenaes_ES
dc.contributor.authorPardo Pascual, Josep Eliseu
dc.contributor.authorBalaguer-Beser, Ángel
dc.contributor.authorPalomar-Vázquez, Jesús
dc.contributor.funderMinisterio de Educación, Cultura y Deporte
dc.date.accessioned2017-05-05T12:34:04Z
dc.date.available2017-05-05T12:34:04Z
dc.date.issued2016-02-01
dc.description.abstract[EN] The shoreline is a useful indicator of mid-term coastal evolution. Every shoreline is affected by instantaneous sealevel, the length of the run-up, and beach profile changes. In this work, annual mean shorelines are evaluated in a manner that avoids these effects by averaging the instantaneous shoreline positions registered during the same year. A set of 270 shorelines obtained from Landsat imagery between 2000 and 2014, using the method described in Pardo-Pascual et al. (2012), have been used. It has been shown that the use of annual mean shorelines enables the same rate of change to be obtained as when using all the shorelines, but that the data is simpler to manage and more useful when visualising local changes. It has also been shown that annual mean shorelines largely remove the short-term variability, and are therefore useful for analysing mid-term trend quantifications. In addition, we propose a methodology for annual mean shorelines, obtained from Landsat imagery, that minimises the effects of sea-level variation on the shoreline positions. Both shorelines – instantaneous and mean annual – appear to be about 4 or 5 m seaward from those obtained using more precise sources.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationAlmonacid Caballer, J.; Sánchez García, E.; Pardo Pascual, JE.; Balaguer Beser, ÁA.; Palomar Vázquez, JM. (2016). Evaluation of annual mean shoreline position deduced from Landsat imagery as a mid-term coastal evolution indicator. Marine Geology. 372:79-88. doi:10.1016/j.margeo.2015.12.015es_ES
dc.description.sponsorshipThis work is part of the PhD of the second author which is supported by a Spanish Ministry of Education, Culture and Sport grant (state program in I + D + i 2013-2016).en_EN
dc.description.upvformatpfin88es_ES
dc.description.upvformatpinicio79es_ES
dc.description.volume372es_ES
dc.identifier.doi10.1016/j.margeo.2015.12.015
dc.identifier.eissn1872-6151
dc.identifier.issn0025-3227
dc.identifier.urihttps://riunet.upv.es/handle/10251/80677
dc.languageIngléses_ES
dc.publisherElsevieres_ES
dc.relation.ispartofMarine Geologyes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.margeo.2015.12.015es_ES
dc.relation.senia298974es_ES
dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsCerradoes_ES
dc.subjectMid-term coastal evolutiones_ES
dc.subjectLandsat imageryes_ES
dc.subjectAnnual mean shorelinees_ES
dc.subjectBias seaward Landsat shorelineses_ES
dc.subject.classificationINGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIAes_ES
dc.subject.classificationMATEMATICA APLICADAes_ES
dc.titleEvaluation of annual mean shoreline position deduced from Landsat imagery as a mid-term coastal evolution indicatores_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier368
person.identifier171237
person.identifier33742
person.identifier.orcid0000-0003-0471-9795
person.identifier.orcid0000-0003-0039-2641
person.identifier.orcid0000-0001-5438-8950
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