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Shoreline Analysis and Extraction Tool, SAET V 1.0. Open source code. Universitat Politècnica de València, http://www.upv.es/es. Deliverable 3.2 - Algorithms for satellite derived shoreline mapping and shorelines dataset, ECFAS project (GA 101004211), www.ecfas.eu.

Palomar-Vázquez, J.; Almonacid-Caballer, J.; Pardo-Pascual, J.E.; Cabezas-Rabadán, C.

The European Copernicus Coastal Flood Awareness System (ECFAS) project will contribute to the evolution of the Copernicus Emergency Monitoring Service by demonstrating the technical and operational feasibility of a European Coastal Flood Awareness System. Specifically, ECFAS will provide a much-needed solution to bolster coastal resilience to climate risk and reduce population and infrastructure exposure by monitoring and supporting disaster preparedness, two factors that are fundamental to damage prevention and recovery if a storm hits.

The ECFAS Proof-of-Concept development will run from January 2021-December 2022. The ECFAS project is a collaboration between Istituto Universitario di Studi Superiori IUSS di Pavia (Italy, ECFAS Coordinator), Mercator Ocean International (France), Planetek Hellas (Greece), Collecte Localisation Satellites (France), Consorzio Futuro in Ricerca (Italy), Universitat Politecnica de Valencia (Spain), University of the Aegean (Greece), and EurOcean (Portugal), and is funded by the European Commission H2020 Framework Programme within the call LC-SPACE-18-EO-2020 - Copernicus evolution: research activities in support of the evolution of the Copernicus services.

This project has received funding from the European Union’s Horizon 2020 programme

The deliverables will have restricted access at least until the end of ECFAS

Description of the containing files inside the Dataset.

The deliverable includes two different files: the Shoreline Analysis and Extraction Tool, SAET V 1.0, and the accompayining report.

The report describes the state of the art of shoreline extraction from both SAR and optical satellite images and defines the strategies followed to improve the existing extraction methods. The report includes the description of the already existing and the newly proposed extraction methodologies and their assessment in several sites under different morpho-sedimentary and oceanographic conditions. The report aims at providing the background information on the framework of the SAET algorithm, as well as serving as a guide for the users of SAET.

This software for shoreline extraction constitutes the milestone MS5 - Calibrated algorithms of the ECFAS project. The software has been developed according to the specific requirements of ECFAS.

The Shoreline Analysis and Extraction Tool, SAET V 1.0 is a software developed in Python language focused on the automatic extraction of shorelines from optical satellite imagery (Sentinel-2 and Landsat-8). Its main algorithm is based on the shoreline sub-pixel detection approach, adapted from the SHOREX system (Pardo-Pascual et al. 2012 & 2018; and Sánchez-García et al., 2017). This software allows obtaining the pre-storm and post-storm shoreline, enabling to make a comparison and to detect the erosion impact of storms on low-lying beaches.

This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211
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Only the partners of the consortium will have access to the Dataset. 


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