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Analysis of the shoreline position extracted from Landsat TM and ETM+ imagery

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Analysis of the shoreline position extracted from Landsat TM and ETM+ imagery

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dc.contributor.author Sánchez García, Elena es_ES
dc.contributor.author Pardo Pascual, Josep Eliseu es_ES
dc.contributor.author Balaguer Beser, Ángel Antonio es_ES
dc.contributor.author Almonacid Caballer, Jaime es_ES
dc.date.accessioned 2016-05-11T15:18:28Z
dc.date.available 2016-05-11T15:18:28Z
dc.date.issued 2015
dc.identifier.issn 1682-1750
dc.identifier.uri http://hdl.handle.net/10251/63935
dc.description.abstract [EN] A statistical analysis of the results obtained by the tool SELI (Shoreline Extraction from Landsat Imagery) is made in order to characterise the medium and long term period changes occurring on beaches. The analysis is based on the hypothesis that intra-annual shifts of coastline positions hover around an average position, which would be significant when trying to set these medium and long term trends. Fluctuations around this average are understood as the effect of short-term changes -variations related to sea level, wave run-up, and the immediate morphological beach profile settings of the incident waves- whilst the alterations of the average position will obey changes relating to the global sedimentary harmony of the analysed beach segment. The goal of this study is to assess the validity of extracted Landsat shorelines knowing whether the intrinsic error could alter the position of the computed mean annual shoreline or if it is balanced out between the successive averaged images. Two periods are stablished for the temporal analysis in the area according to the availability of other data taken from high precision sources. Statistical tests performed to compare samples (Landsat versus high accuracy) indicate that the two sources of data provide similar information regarding annual means; coastal behaviour and dynamics, thereby verifying Landsat shorelines as useful data for evolutionary studies. es_ES
dc.description.sponsorship This work is part of the PhD of the first author which is supported by the “Ministerio de Educación, Cultura y Deporte” of Spain (state program in I+D+i 2013-2016)
dc.language Inglés es_ES
dc.publisher Copernicus Publications es_ES
dc.relation.ispartof The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Shoreline position es_ES
dc.subject Landsat imagery es_ES
dc.subject Statistical methods es_ES
dc.subject Coastal environment es_ES
dc.subject Monitoring changes es_ES
dc.subject Long-term trends es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Analysis of the shoreline position extracted from Landsat TM and ETM+ imagery es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso
dc.identifier.doi 10.5194/isprsarchives-XL-7-W3-991-2015
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Sánchez García, E.; Pardo Pascual, JE.; Balaguer Beser, ÁA.; Almonacid Caballer, J. (2015). Analysis of the shoreline position extracted from Landsat TM and ETM+ imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XL-7/W3:991-998. doi:10.5194/isprsarchives-XL-7-W3-991-2015 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.conferencename 36th International Symposium on Remote Sensing of Environment
dc.relation.conferencedate May 11-15, 2015
dc.relation.conferenceplace Berlin, Germany
dc.relation.publisherversion http://dx.doi.org/10.5194/isprsarchives-XL-7-W3-991-2015 es_ES
dc.description.upvformatpinicio 991 es_ES
dc.description.upvformatpfin 998 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume XL-7/W3 es_ES
dc.relation.senia 310330 es_ES
dc.identifier.eissn 2194-9034
dc.contributor.funder Ministerio de Educación, Cultura y Deporte


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