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 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. Also, the dataset contains 2 layers with statistics information regarding the population of Europe per sex and age divided in administrative units at NUTS level 3. The first layers includes information fro the whole Europe and the second layer has only the information regaridng the population at the Coastal area. Finally, the dataset includes the global database of Floods protection standars. Below there are tables which present the dataset.
Adriatic folder contains the countries: Slovenia, Croatia, Montenegro, Albania, Bosnia and Herzegovina
Malta was added to the dataset
| Copernicus Land Monitoring Service | Resolution | Comment | | Coastal LU/LC | 1:10.000 | A Copernicus hotspot product to monitor landscape dynamics in coastal zones | | EU-Hydro - Coastline | 1:30.000 | EU-Hydro is a dataset for all European countries providing the coastline | | Natura 2000 | 1: 100000 | A Copernicus hotspot product to monitor important areas for nature conservation | | European Settlement Map | 10m | A spatial raster dataset that is mapping human settlements in Europe | | Imperviousness Density | 10m | The percentage of sealed area | | Impervious Built-up | 10m | The part of the sealed surfaces where buildings can be found | | Grassland 2018 | 10m | A binary grassland/non-grassland product | | Tree Cover Density 2018 | 10m | Level of tree cover density in a range from 0-100% |
| Joint Research Center | Resolution | Comment | | Global Human Settlement Population Grid GHS-POP) | 250m | Residential population estimates for target year 2015 | | GHS settlement model layer (GHS-SMOD) | 1km | The GHS Settlement Model grid delineates and classify settlement typologies via a logic of population size, population and built-up area densities | | GHS-BUILT | 10m | Built-up grid derived from Sentinel-2 global image composite for reference year 2018 | | ENACT 2011 Population Grid (ENACT-POP R2020A) | 1km | The ENACT is a population density for the European Union that take into account major daily and monthly population variations | | JRC Open Power Plants Database (JRC-PPDB-OPEN) | - | Europe’s open power plant database | | GHS functional urban areas (GHS-FUA R2019A) | 1km | City and its commuting zone (area of influence of the city in terms of labour market flows) | | GHS Urban Centre Database (GHS-UCDB R2019A) | 1km | Urban Centres defined by specific cut-off values on resident population and built-up surface |
| Additional Data | Resolution | Comment | | Open Street Map (OSM) | - | BF, Transportation Network, Utilities Network, Places of Interest | | CEMS | - | Data from Rapid Mapping activations in Europe | | GeoNames | - | Populated places, Adm. units, Hydrography, Forests, Hills/Mountains, Parks, etc. | | Global Administrative Areas | - | Administrative areas of all countries, at all levels of sub-division | | NUTS3 Population Age/Sex Group | - | Eurostat population by age ansd sex statistics interesected with the NUTS3 Units | | FLOPROS | | A global database of FLOod PROtection Standards, which comprises information in the form of the flood return period associated with protection measures, at different spatial scales |
| This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211 |
In 2023, the distribution of body-mass-index (BMI) across Italy varied greatly by region. According to the data, southern regions had a higher share of overweight and obese people compared to the national average. Overall, the overweight population in Italy is projected to reach 69.4 percent by 2029. The Italian regions with the highest share of people considered as having a normal weight in 2023 were Trentino-South Tyrol, Tuscany, and Marche. Conversely, the region of Aosta Valley hosted the most underweight people in the country, in relative terms, with 5.7 percent.
Diabetes The number of individuals suffering from diabetes in Italy amounted to 3,888 in 2022. Although the risk factors related to type one diabetes are not fully known, among the risk factors for diabetes type 2, being overweight or obese are among the most common. Indeed, in 2021, almost 17 percent of obese women were also diabetic. This rate lowers to 14.1 percent for men. Obesity among children and adolescents Childhood obesity is becoming an issue in the country, with the share of overweight and obese children growing every year. Indeed, Italy has become one of the European countries with the highest obesity rate among children. This tendency is more prevalent among young boys, with 29.8 percent of male minors overweight between 2020 and 2021, compared to 24 percent of females.
As of December 2024, Lombardy was the region in Italy hosting the largest share of immigrants, followed by Emilia-Romagna, Lazio, and Piedmont. Lombardy is the region with the highest number of inhabitants in the country. The north Italian region has ten million residents, around one sixth of the total national population, and was housing 18,200 immigrants. The Mediterranean route to Europe In 2020, 955 migrants died or went missing in the Italian Central Mediterranean Sea in the attempt to reach Europe. In 2024, 66,317 people arrived at the Italian shores, 91,300 individuals less compared to 2023. Death and missing cases still represent a serious hazard for the people who want to reach Italy from North Africa. Racism on the rise in Italy Race-related violence is strictly correlated with immigration. According to 2020 data, the cases of racial physical violence increased, in particular between 2016 and 2018. Over these three years, the cases of body violence ranged from 24 to 127 attacks. Similarly, insults, threats, and harassment became more widespread. Between 2017 and 2019, the cases grew from 88 to 206, while only in the first three months of 2020 there were 53 episodes of racist insults, threats, and harassment.
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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 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. Also, the dataset contains 2 layers with statistics information regarding the population of Europe per sex and age divided in administrative units at NUTS level 3. The first layers includes information fro the whole Europe and the second layer has only the information regaridng the population at the Coastal area. Finally, the dataset includes the global database of Floods protection standars. Below there are tables which present the dataset.
Adriatic folder contains the countries: Slovenia, Croatia, Montenegro, Albania, Bosnia and Herzegovina
Malta was added to the dataset
| Copernicus Land Monitoring Service | Resolution | Comment | | Coastal LU/LC | 1:10.000 | A Copernicus hotspot product to monitor landscape dynamics in coastal zones | | EU-Hydro - Coastline | 1:30.000 | EU-Hydro is a dataset for all European countries providing the coastline | | Natura 2000 | 1: 100000 | A Copernicus hotspot product to monitor important areas for nature conservation | | European Settlement Map | 10m | A spatial raster dataset that is mapping human settlements in Europe | | Imperviousness Density | 10m | The percentage of sealed area | | Impervious Built-up | 10m | The part of the sealed surfaces where buildings can be found | | Grassland 2018 | 10m | A binary grassland/non-grassland product | | Tree Cover Density 2018 | 10m | Level of tree cover density in a range from 0-100% |
| Joint Research Center | Resolution | Comment | | Global Human Settlement Population Grid GHS-POP) | 250m | Residential population estimates for target year 2015 | | GHS settlement model layer (GHS-SMOD) | 1km | The GHS Settlement Model grid delineates and classify settlement typologies via a logic of population size, population and built-up area densities | | GHS-BUILT | 10m | Built-up grid derived from Sentinel-2 global image composite for reference year 2018 | | ENACT 2011 Population Grid (ENACT-POP R2020A) | 1km | The ENACT is a population density for the European Union that take into account major daily and monthly population variations | | JRC Open Power Plants Database (JRC-PPDB-OPEN) | - | Europe’s open power plant database | | GHS functional urban areas (GHS-FUA R2019A) | 1km | City and its commuting zone (area of influence of the city in terms of labour market flows) | | GHS Urban Centre Database (GHS-UCDB R2019A) | 1km | Urban Centres defined by specific cut-off values on resident population and built-up surface |
| Additional Data | Resolution | Comment | | Open Street Map (OSM) | - | BF, Transportation Network, Utilities Network, Places of Interest | | CEMS | - | Data from Rapid Mapping activations in Europe | | GeoNames | - | Populated places, Adm. units, Hydrography, Forests, Hills/Mountains, Parks, etc. | | Global Administrative Areas | - | Administrative areas of all countries, at all levels of sub-division | | NUTS3 Population Age/Sex Group | - | Eurostat population by age ansd sex statistics interesected with the NUTS3 Units | | FLOPROS | | A global database of FLOod PROtection Standards, which comprises information in the form of the flood return period associated with protection measures, at different spatial scales |
| This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211 |