Project deliverable Restricted Access
Sylvain, M.; Dufau, C.; Fauny, O.; Granier, N.
The European Copernicus Coastal Flood Awareness System (ECFAS) project will contribute to the evolution of the Copernicus Emergency Management Service (https://emergency.copernicus.eu/) 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 Scuola Universitaria Superiore 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.
This document describes the ECFAS platform back-end architecture from the building to its deployment on to a DIAS (Data and Information Access Services) using cloud ready technology using adapted technologies (Kubernetes, dockers).
One big challenge for building the ECFAS PoC is the integration of all algorithms developed within different work packages and partners using different informatic languages.
The document also constitutes a guideline for the ECFAS partners.
|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.