- -

Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy

Show simple item record

Files in this item

dc.contributor.author Palomar-Vázquez, Jesús es_ES
dc.contributor.author Pardo Pascual, Josep Eliseu es_ES
dc.contributor.author Almonacid-Caballer, Jaime es_ES
dc.contributor.author Cabezas-Rabadán, Carlos es_ES
dc.date.accessioned 2024-04-11T07:53:46Z
dc.date.available 2024-04-11T07:53:46Z
dc.date.issued 2023-06 es_ES
dc.identifier.issn 2072-4292 es_ES
dc.identifier.uri http://hdl.handle.net/10251/203322
dc.description.abstract [EN] SAET (Shoreline Analysis and Extraction Tool) is a novel open-source tool to enable the completely automatic detection of shoreline position changes using the optical imagery acquired by the Sentinel-2 and Landsat 8 and 9 satellites. SAET has been developed within the ECFAS (European Coastal Flood Awareness System) project, which is intended to be the first European service for coastal flood forecasting, management, and recovery analysis. The tool is developed to characterise the shoreline response associated with punctual events such as coastal storms as well as any other phenomenon. For a given beach segment, SAET facilitates the selection of the satellite images closest in time to the analysed events that offer an adequate cloud coverage level for analysing the shoreline change. Subsequently, the tool automatically downloads the images from their official repositories, pre-processes them and extracts the shoreline position with sub-pixel accuracy. In order to do so, an initial approximate definition of the shoreline is carried out at the pixel level using a water index thresholding, followed by an accurate extraction operating on the shortwave infrared bands to produce a sub-pixel line in vector formats (points and lines). The tool offers different settings to be adapted to the different coastal environments and beach typologies. Its main advantages refer to its autonomy, its efficiency in extracting complete satellite scenes, its flexibility in adapting to different environments and conditions, and its high subpixel accuracy. This work presents an accuracy assessment on a long Mediterranean sandy beach of SDSs extracted from L8 and S2 imagery against coincident alongshore reference lines, showing an accuracy of about 3 m RMSE. At the same time, the work shows an example of the usage of SAET for characterising the response to Storm Gloria (January 2020) on the beaches of Valencia (E Spain). SAET provides an efficient and completely automatic workflow that leads to accurate SDSs while only relying on publicly available information. The tool appears to be a useful extraction tool for beach monitoring, both for public administrations and individual users. es_ES
dc.description.sponsorship The ECFAS (European Coastal Flood Awareness System) project (https://www.ecfas.eu/) has received funding from the EU H2020 research and innovation programme under Grant Agreement No. 101004211. This research is also supported by the projects MONOBESAT (PID2019-111435RB-I00) funded by the Spanish Ministry of Science, Innovation and Universities, and the Margarita Salas contract within the Re-qualification programme by the Ministry of Universities financed by the European Union¿NextGenerationEU and the grant Primeros Proyectos de Investigación (PAID-06-22), Vicerrectorado de Investigación de la Universitat Politècnica de València (UPV) associated with the corresponding author. es_ES
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 Shoreline extraction es_ES
dc.subject Erosion monitoring es_ES
dc.subject Beach morphological characterisation es_ES
dc.subject Sentinel-2 es_ES
dc.subject Landsat es_ES
dc.subject Coastal storms es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/rs15123198 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111435RB-I00/ES/MONITORIZACION MORFOLOGICA DE LAS PLAYAS UTILIZANDO IMAGENES DE SATELITE DE LIBRE ACCESO Y COBERTURA GLOBAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101004211/EU/A PROOF-OF-CONCEPT FOR THE IMPLEMENTATION OF A EUROPEAN COPERNICUS COASTAL FLOOD AWARENESS SYSTEM/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UNIVERSIDAD POLITECNICA DE VALENCIA//MS%2F28//AYUDA MARGARITA SALAS DE CABEZAS RABADAN, CARLOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV-VIN//PAID-06-22//Monitorización de la respuesta de la línea de costa a eventos erosivos y a patrones rítmicos mediante imágenes de satélite/ es_ES
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. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica es_ES
dc.description.bibliographicCitation Palomar-Vázquez, J.; Pardo Pascual, JE.; Almonacid-Caballer, J.; Cabezas-Rabadán, C. (2023). Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy. Remote Sensing. 15(12). https://doi.org/10.3390/rs15123198 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/rs15123198 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 12 es_ES
dc.relation.pasarela S\495599 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder UNIVERSIDAD POLITECNICA DE VALENCIA es_ES


This item appears in the following Collection(s)

Show simple item record