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dc.contributor.author | Jaramillo, Camilo | es_ES |
dc.contributor.author | Sánchez-García, Elena | es_ES |
dc.contributor.author | Martínez-Sánchez, Jara | es_ES |
dc.contributor.author | González, Mauricio | es_ES |
dc.contributor.author | Palomar-Vázquez, Jesús | es_ES |
dc.date.accessioned | 2021-07-21T03:30:49Z | |
dc.date.available | 2021-07-21T03:30:49Z | |
dc.date.issued | 2020-11 | es_ES |
dc.identifier.issn | 0749-0208 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/169634 | |
dc.description.abstract | [EN] The analysis and prediction of shoreline variability are two of the main challenges in coastal engineering. Evaluating coastal behaviour in a target area usually requires access to long data series of high-resolution shoreline positions. Therefore, coastal engineers must have access to different data sources, such as topographic-bathymetric field campaigns, digital orthophotos, aerial photographs, video-camera monitoring systems, and satellite imagery. This last data source is the only one that has the great advantage of covering large areas of the world and including regular coverage of most coasts during all climates and seasons. However, mid-resolution satellite images have been neglected because the resolution available to the public is too coarse to provide information on most coastal morphodynamic changes. The aim of this study was to explore the applicability of mid-resolution satellite imagery with a subpixel acquisition method for the calibration and validation of equilibrium shoreline evolution models. The models' performance was assessed by means of a comparative analysis between shoreline-position data sets obtained from video-camera systems and satellite imagery at two beaches on the Mediterranean coast of Spain. Almost 4 months of shoreline measurements were considered for validation purposes of the models at Nova Icaria Beach, and more than 1.5 years of shoreline measurements were analyzed at Cala Millor Beach. The results show that the general erosion-accretion trend is adequately represented by the models compared to the shoreline measurements at a qualitative and quantitative level. | es_ES |
dc.description.sponsorship | The authors would like to acknowledge the support of the Spanish Ministry of Economy, Industry and Competitiveness under Grant BIA2017-89491-R (Beach-Art Project) and Grant CGL2015-69906-R (RESETOCOAST Project). The authors also appreciate the financial support from the Society for the Regional Development of Cantabria, SODERCAN group, under Grant ID16-IN-045 (SMC2020 Project). The Mediterranean Center for Marine and Environmental Research (CMIMA) and the Balearic Islands Coastal Ocean Observing and Forecasting System (SOCIB) are kindly acknowledged for providing the video-monitoring observations and topographic-bathymetric data. This study was part of the Ph.D. dissertation of the second author, which was supported by a grant from the Spanish Ministry of Education, Culture and Sports (IthornDthorni 2013-2016). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | BioOne (Coastal Education and Research Foundation) | es_ES |
dc.relation.ispartof | Journal of Coastal Research | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Subpixel precision | es_ES |
dc.subject | Coastal morphology | es_ES |
dc.subject | Cross-shore processes | es_ES |
dc.subject | Model calibration and validation | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.subject.classification | INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA | es_ES |
dc.title | Subpixel Satellite-Derived Shorelines as Valuable Data for Equilibrium Shoreline Evolution Models | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.2112/JCOASTRES-D-20-00016.1 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIA2017-89491-R/ES/DINAMICA DEL PERFIL DE PLAYA Y TECNICAS DE RECUPERACION ASISTIDA: INVESTIGACION NUMERICA Y EXPERIMENTAL EN LABORATORIO Y CAMPO/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/SODERCAN//ID16-IN-045/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU2013-05877/ES/FPU2013-05877/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//CGL2015-69906-R/ES/MONITORIZACION DE LOS CAMBIOS COSTEROS MEDIANTE TELEDETECCION PARA MITIGAR LOS IMPACTOS DEL CAMBIO CLIMATICO/ | es_ES |
dc.rights.accessRights | Cerrado | 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. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient | es_ES |
dc.description.bibliographicCitation | Jaramillo, C.; Sánchez-García, E.; Martínez-Sánchez, J.; González, M.; Palomar-Vázquez, J. (2020). Subpixel Satellite-Derived Shorelines as Valuable Data for Equilibrium Shoreline Evolution Models. Journal of Coastal Research. 36(6):1215-1228. https://doi.org/10.2112/JCOASTRES-D-20-00016.1 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.2112/JCOASTRES-D-20-00016.1 | es_ES |
dc.description.upvformatpinicio | 1215 | es_ES |
dc.description.upvformatpfin | 1228 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 36 | es_ES |
dc.description.issue | 6 | es_ES |
dc.relation.pasarela | S\417945 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Sociedad para el Desarrollo de Cantabria | es_ES |
dc.contributor.funder | Ministerio de Educación, Cultura y Deporte | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |