DOI: 10.5281/zenodo.5797808
title: Coastal dataset including exposure and vulnerability layers, Deliverable 3.1 - ECFAS Project (GA 101004211), www.ecfas.eu

description: 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 <em>Description of the containing files inside the Dataset.</em> The dataset was divided at European country level, except the Adriatic area which was extracted as a region and not on a country level due to the small size of the countries. The buffer zone of each data was 10km inland in order to be correlated with the new Copernicus product Coastal Zone LU/LC. Specifically, the dataset includes the new Coastal LU/LC product which was implemented by the EEA and became available at the end of 2020. Additional information collected in relation to the location and characteristics of transport (road and railway) and utility networks (power plants), population density and time variability. Furthermore, some of the publicly available datasets that were used in CEMS related to the abovementioned assets were gathered such as OpenStreetMap (building footprints, road and railway network infrastructures), GeoNames (populated places but also names of administrative units, rivers and lakes, forests, hills and mountains, parks and recreational areas, etc.), the Global Human Settlement Layer (GHS) and Global Human Settlement Population Grid (GHS-POP) generated by JRC. Below there are tables which present the dataset. Finally, the dataset contains statistics information regarding the population of Europe per sex and age divided in administrative units NUTS level 3. <strong>Copernicus Land Monitoring Service</strong> <strong>Resolution </strong> <strong>Comment</strong> <strong>Coastal LU/LC</strong> 1:10.000 A Copernicus hotspot product to monitor landscape dynamics in coastal zones <strong>EU-Hydro - Coastline</strong> 1:30.000 EU-Hydro is a dataset for all European countries providing the coastline <strong>Natura 2000</strong> 1: 100000 A Copernicus hotspot product to monitor important areas for nature conservation <strong>European Settlement Map</strong> 10m A spatial raster dataset that is mapping human settlements in Europe <strong>Imperviousness Density</strong> 10m The percentage of sealed area <strong>Impervious Built-up</strong> 10m The part of the sealed surfaces where buildings can be found <strong>Grassland 2018</strong> 10m A binary grassland/non-grassland product <strong>Tree Cover Density 2018</strong> 10m Level of tree cover density in a range from 0-100% <strong>Joint Research Center</strong> <strong>Resolution </strong> <strong>Comment</strong> <strong>Global Human Settlement Population Grid<br> GHS-POP)</strong> 250m Residential population estimates for target year 2015 <strong>GHS settlement model layer<br> (GHS-SMOD)</strong> 1km The GHS Settlement Model grid delineates and classify settlement typologies via a logic of population size, population and built-up area densities <strong>GHS-BUILT</strong> 10m Built-up grid derived from Sentinel-2 global image composite for reference year 2018 <strong>ENACT 2011 Population Grid </strong> <strong>(ENACT-POP R2020A)</strong> 1km The ENACT is a population density for the European Union that take into account major daily and monthly population variations <strong>JRC Open Power Plants Database (JRC-PPDB-OPEN)</strong> - Europe’s open power plant database <strong>GHS functional urban areas<br> (GHS-FUA R2019A)</strong> 1km City and its commuting zone (area of influence of the city in terms of labour market flows) <strong>GHS Urban Centre Database<br> (GHS-UCDB R2019A)</strong> 1km Urban Centres defined by specific cut-off values on resident population and built-up surface <strong>Additional Data</strong> <strong>Resolution </strong> <strong>Comment</strong> <strong>Open Street Map (OSM)</strong> - BF, Transportation Network, Utilities Network, Places of Interest <strong>CEMS</strong> - Data from Rapid Mapping activations in Europe <strong>GeoNames</strong> - Populated places, Adm. units, Hydrography, Forests, Hills/Mountains, Parks, etc. <strong>Global Administrative Areas</strong> - Administrative areas of all countries, at all levels of sub-division <strong>NUTS3 Population Age/Sex Group</strong> - Eurostat population by age and sex statistics intersected with the NUTS3 Units <em><strong>Disclaimer:</strong></em> 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