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The bar charts represent the gross final renewable (green) and non-renewable (grey) energy consumption of the EU-28. The white dots show the renewable energy share of the EU-28 compared to the target in 2020.
A distinct difference can be observed between the two models, where JRC model in general defines larger areas being exposed to landslides than the ICG model. This already shows that classification of landslide zonation maps is subjective and depends on the choice of the experts. The classified hazard map of JRC is definitely more conservative although it does incorporate hotspots of known hazard such as north-west Scotland, which the ICG model does not. Red circles show possible hotspots. White colour represent region without landslide hazard.
Expected variations in abundance or activity of four landslide types, driven by the projected climate change.
Drought risk maps with the likelihood of impact occurrence (LIO) in the impact categories Tourism and Recreation, Public Water Supply, Water Quality, Freshwater Ecosystems, and Terrestrial Ecosystems (columns) for three hazard levels of SPEI with −0.5: near normal, −1.5: severely dry, and −2.5: extremely dry.
The storm footprint is defined by considering the highest 3 seconds wind gust (in m/s) during a 72 hours period . Data are obtained from the Met Office Integrated Data Archive System (MIDAS).
Average temperature anomalies (°C) for Europe between 28 June 28 to 4 July. Baseline period is 1964–1993.
Stations available in the European Climate Assessment and Datasets (ECA&D) (with different lengths of records) for daily maximum and minimum temperature.
The figure shows an overview of data availability on historical landslides in Europe. Data are available almost for most European countries either from national databases (red) or regional databases (blue).
Overview of the notified State Aid programmes over the period 2006–2015 for all hazards covered (left); and for floods only (right)
EEA survey was launched in early 2016 in order to gather updated information from countries regarding the status of integration of CCA/DRR at national or sub-national levels. Countries that responded to the survey: Austria, Belgium, Bulgaria, Croatia, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Lithuania, Malta, Netherlands, Poland, Portugal, Romania, Sweden, : Liechtenstein, Norway, Switzerland., Turkey. Countries that did not respond to the survey: Cyprus, Czech Republic, Denmark, Greece, Iceland, Latvia, Luxembourg, Slovakia, Slovenia, Spain, United Kingdom
This map depicts the Vistula river basin land cover within Poland. This map was created in order to have a higher spatial resolution of this specific area.
This map depicts the Rhone river basin land cover within France. This map was created in order to have a higher spatial resolution of this specific area.
This map depicts the Elbe river basin land cover within Germany. This map was created in order to have a higher spatial resolution of this specific area.
This map shows spatial distribution and intensity of main agricultural conversions (lcf52 Conversion from semi-natural land to agriculture, lcf41 Extension of set aside fallow land and pasture, lcf46 Conversion from pasture to arable and permanent crops and lcf6 Withdrawal of farming) over the territory in period 2006 - 2012.
This map shows spatial distribution and intensity of expansion of artificial surfaces (lcf2 Urban residential sprawl + lcf3 Sprawl of economic sites and infrastructures) over the territory in period 2006 - 2012.
The High nature Value Farmland (HNV) comprises hot spots of biodivsersity in rural areas and is usually characterised by extensive farming practices. This figure shows where the HNV are at higher risk due the pressure of agricultural intensification.
This map shows spatial distribution and intensity of woodland creation (lcf61 Withdrawal of farming with woodland creation and lcf72 Forest creation, afforestation) over the territory in period 2006-2012.
This map shows the current tendencies towards total population in Europe.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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