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Vegetation phenology is the description of periodic plant life cycle events across the growing seasons. Vegetation phenology with remote sensing is typically monitored by means of time series of vegetation indices. Vegetation indices address the amount of green biomass and allow the differentiation of the intensity of photosynthetic activity. This in turn depends on the plant functional types and dynamics during the growing season. These time series datasets are made available as raster files with 500x 500m resolution, in ETRS89-LAEA projection corresponding to the MCD43 tiling grid, for those tiles that cover the EEA38 member countries and the United Kingdom and for two seasons in each year from 2000 onwards. It is updated in the first quarter of each year.
The figure shows the level of greenhouse gas (GHG) emissions from the agriculture sector. The GHG emission trend consists of historical emissions (1990-2020) and projected emissions (2021-2040).
Indicator based on the population trends of European grassland butterflies
The Regulation (EU) No 2019/631 (and before that Regulation (EU) No 510/2011) requires Member States to record information for each new van registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new van registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2, mass of the vehicle, wheel base, track width, fuel type and fuel mode. Additional information, such as engine power and engine capacity were also submitted. Data for EU-28 are reported in the main database. Since 2018 Iceland and since 2019 Norway are also included in the database.
The Regulation (EU) No 2019/631 requires Countries to record information for each new passenger car registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new passenger car registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2 (NEDC and WLTP protocols), masses of the vehicle, wheel base, track width, engine capacity and power, fuel type and mode, eco-innovations and electricity consumption. Data for EU-27 and UK are reported in the main database. Since 2018 Iceland is also included in the database. Since 2019 Norway is also included in the database. For downloading the data in the elastic data viewer please use Edge, Chrome, Firefox or Safari.
This dataset contains the location and administrative data for Large Combustion Plants in the Energy Community participating countries, as well as more detailed data on energy input and emissions to air. These data are reported to EEA under the Energy Community Treaty. Warning: Reporting countries have only recently started to report and it is expected that data quality will increase as experience in reporting consolidates. Countries will be correcting the reported data and updates will be posted accordingly. The metadata document provides further information on this matter. Data covers 2018-2021.
This entry points at data related to the "Exposure of vulnerable groups and social infrastructure to climate-related risks" viewer on the European Climate and Health Observatory platform. The viewer analyses the exposure of vulnerable populations (the elderly and unemployed) and social infrastructure (schools and hospitals) to the risk of flooding. It also presents the exposure of social infrastructure to the Urban Heat Island effect for 100 European cities.
This vector dataset provides the climate suitability index values (0-100%) for tiger mosquito (Aedes albopictus) for 100 European cities for the years 2008-2009 (P90 - 90th percentile). Aedes Albopictus has become a common occurrence in Southern Europe and transmits diseases such as Zika, dengue and chikungunya. The climatic suitability for tiger mosquito depends on factors such as sufficient amounts of rainfall, high summer temperatures and mild winters. Climate change is anticipated to further facilitate the spread of tiger mosquitoes across Europe by changing temperature and precipitation patterns, thereby increasing the suitable habitat.
Aggregated data on 'Consumption of ozone-depleting substances (ODS)'. Data reported by companies to the European Environment Agency (EEA) under Article 27 of Regulation (EC) No 1005/2009 (EU Ozone Regulation). Data reported by companies on the production, import, export, destruction, and use of ozone-depleting substances in the EU-27 plus United Kingdom, 2006-2021.
This data viewer provides access to the latest air pollutant emission inventory reported to EEA by EU Member States under the National Emission reduction Commitments (NEC) Directive.
Trends in concentrations of nitrogen (dissolved inorganic nitrogen — DIN) and phosphorus (orthophosphate) in the upper 10m of the water column in European seas during the season of low phytoplankton growth (SLPG) are shown for the period 1980-2019. Green circles indicate stations with significant (p<0.05) decreasing trends; orange circles show stations with significant (p<0.05) increasing trends; and grey circles show stations with no significant trends. In these cases, p is a statistical term describing the probability that the trend is significant.
This raster data set corresponds to the above ground vegetation biomass productivity time-series for the period 2000-2016. The data set addresses trends in land surface productivity derived from remote sensing observed time series of vegetation indices. The vegetation index used in the indicator is the Plant Phenology Index (PPI, Jin and Eklundh, 2014). PPI is based on the MODIS Nadir BRDF-Adjusted Reflectance product (MODIS MCD43 NBAR. The product provides reflectance data for the MODIS “land” bands (1 - 7) adjusted using a bi-directional reflectance distribution function. This function models values as if they were collected from a nadir-view to remove so called cross-track illumination effects. The Plant Phenology Index (PPI) is a new vegetation index optimized for efficient monitoring of vegetation phenology. It is derived from radiative transfer solution using reflectance in visible-red (RED) and near-infrared (NIR) spectral domains. PPI is defined to have a linear relationship to the canopy green leaf area index (LAI) and its temporal pattern is strongly similar to the temporal pattern of gross primary productivity (GPP) estimated by flux towers at ground reference stations. PPI is less affected by presence of snow compared to commonly used vegetation indices such as Normalized Difference Vegetation Index (NDVI) or Enhanced Vegetation Index (EVI). The product is distributed with 500 m pixel size (MODIS Sinusoidal Grid) with 5-days compositing period.
The figure shows the consumption in ozone-depleting potential (ODP) tonnes from 1986 to 2020.
The figure shows the consumption in metric tonnes and in ozone-depleting potential (ODP) tonnes from 2006 to 2021.
The different sea regions are presented in the Y axis. The X axis corresponds to the number of time series with statistically significant decreasing trends (green), increasing trends (orange) and no trends (grey). Statistical significance at p<0.05.
Data on emissions of air pollutants (ammonia (NH3), non-methane volatile organic compounds (NMVOC), nitrogen oxides (NOx), particulate matter 2.5 (PM2.5) and sulphur dioxide (SO2)) reported annually by Member States to the European Commission (with copies to EEA) under Directive 2016/2284 of the European Parliament and of the Council on the reduction of national emissions of certain atmospheric pollutants.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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