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Assessing the accuracy of automatically extracted shorelines on microtidal beaches from Landsat 7, Landsat 8 and Sentinel-2 imagery

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Assessing the accuracy of automatically extracted shorelines on microtidal beaches from Landsat 7, Landsat 8 and Sentinel-2 imagery

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dc.contributor.author Pardo Pascual, Josep Eliseu es_ES
dc.contributor.author Sánchez García, Elena es_ES
dc.contributor.author Almonacid-Caballer, Jaime es_ES
dc.contributor.author Palomar-Vázquez, Jesús es_ES
dc.contributor.author Priego De Los Santos, Enrique es_ES
dc.contributor.author Fernández-Sarría, Alfonso es_ES
dc.contributor.author Balaguer-Beser, Ángel es_ES
dc.date.accessioned 2019-06-07T20:03:07Z
dc.date.available 2019-06-07T20:03:07Z
dc.date.issued 2018 es_ES
dc.identifier.issn 2072-4292 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121741
dc.description.abstract [EN] This paper evaluates the accuracy of shoreline positions obtained from the infrared (IR) bands of Landsat 7, Landsat 8, and Sentinel-2 imagery on natural beaches. A workflow for sub-pixel shoreline extraction, already tested on seawalls, is used. The present work analyzes the behavior of that workflow and resultant shorelines on a micro-tidal (<20 cm) sandy beach and makes a comparison with other more accurate sets of shorelines. These other sets were obtained using differential GNSS surveys and terrestrial photogrammetry techniques through the C-Pro monitoring system. 21 sub-pixel shorelines and their respective high-precision lines served for the evaluation. The results prove that NIR bands can easily confuse the shoreline with whitewater, whereas SWIR bands are more reliable in this respect. Moreover, it verifies that shorelines obtained from bands 11 and 12 of Sentinel-2 are very similar to those obtained with bands 6 and 7 of Landsat 8 (-0.75 +/- 2.5 m; negative sign indicates landward bias). The variability of the brightness in the terrestrial zone influences shoreline detection: brighter zones cause a small landward bias. A relation between the swell and shoreline accuracy is found, mainly identified in images obtained from Landsat 8 and Sentinel-2. On natural beaches, the mean shoreline error varies with the type of image used. After analyzing the whole set of shorelines detected from Landsat 7, we conclude that the mean horizontal error is 4.63 m (+/- 6.55 m) and 5.50 m (+/- 4.86 m), respectively, for high and low gain images. For the Landsat 8 and Sentinel-2 shorelines, the mean error reaches 3.06 m (+/- 5.79 m). es_ES
dc.description.sponsorship The authors appreciate the financial support provided by the Spanish Ministry of Economy and Competitiveness in the framework of project CGL2015-69906-R. This study is part of the Ph.D. dissertation of the second author, which is supported by a grant from the Spanish Ministry of Education, Culture and Sports (I+D+i 2013-2016). The authors are extremely grateful to different reviewers and editors of this work because their observations and suggestions have improved the final article a lot.
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Remote Sensing es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Coastline extraction es_ES
dc.subject Sub-pixel precision es_ES
dc.subject Sandy beach monitoring es_ES
dc.subject Mid-resolution satellite imagery es_ES
dc.subject IR bands es_ES
dc.subject Coastal wave conditions es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Assessing the accuracy of automatically extracted shorelines on microtidal beaches from Landsat 7, Landsat 8 and Sentinel-2 imagery es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/rs10020326 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.relation.projectID info:eu-repo/grantAgreement/MECD//FPU13%2F05877/ES/FPU13%2F05877/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada 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.description.bibliographicCitation Pardo Pascual, JE.; Sánchez García, E.; Almonacid-Caballer, J.; Palomar-Vázquez, J.; Priego De Los Santos, E.; Fernández-Sarría, A.; Balaguer-Beser, Á. (2018). Assessing the accuracy of automatically extracted shorelines on microtidal beaches from Landsat 7, Landsat 8 and Sentinel-2 imagery. Remote Sensing. 10(2). https://doi.org/10.3390/rs10020326 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3390/rs10020326 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\353868 es_ES
dc.contributor.funder Ministerio de Educación es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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