Published December 9, 2022 | Version 1
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GUIDE 02: FLOOD AND IMPACT MAPS, ECFAS project (GA 101004211),

  • 1. Consorzio Futuro in Ricerca
  • 2. University of Cadiz
  • 3. Planetek Hellas
  • 4. University of Bologna and IUSS Pavia


The European Copernicus Coastal Flood Awareness System (ECFAS) project will contribute to the evolution of the Copernicus Emergency Management 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 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

Description of the containing files.

GUIDE 02: FLOOD AND IMPACT MAPS includes a brief description of the methods developed in the ECFAS project to (i) calibrate and validate the flood model LISFLOOD-FP (Bates & De Roo, 2000), (ii) Producing modelled flood maps along flood-prone areas at EU level and to produce a flood catalogue; (iii) Select and verify the impact assessment method; (iv) Produce impact layers at pan-EU level.


ECFAS partners provide the data "as is" and "as available" without warranty of any kind. The ECFAS partners shall not be held liable resulting from the use of the information and data provided.

This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211



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