EN This shadow map illustrates terrain-induced shadows at 17:45 on August 12th, 2026. The solar eclipse will not be visible within the shaded areas. Shadow coverage may vary depending on the simulation resolution and the specific time. IS Skuggakortið sýnir staði þar sem skuggar falla klukkan 17:45 þann 12. ágúst 2026. Sólmyrkvinn mun ekki sjást á þeim svæðum sem eru í skugga. Skuggasvæðin geta verið breytileg vegna upplausnar hæðarkortsins og á öðrum tímum.

This product displays for Lead, positions with values counts that have been measured per matrix for each year and are present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for every available year.

The High Resolution Layer Dominant Leaf Type Change (DLTC) 2018-2021 raster product provides information on the change between the reference years 2018 and 2021 and consists of 7 thematic classes (unchanged areas with no tree cover / new broadleaved cover / new coniferous cover / loss of broadleaved cover / loss of coniferous cover / unchanged areas with tree cover / potential change among dominant leaf types). This dataset is provided in 20 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme. This dataset includes data from the French Overseas Territories (DOMs)

This product displays for DDT, DDE, and DDD, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. The product displays positions for all available years.

The High Resolution Layer Forest Type (FTY) provides a forest classification with 3 thematic classes (all non-forest areas / broadleaved forest / coniferous forest) at 10m spatial resolution and with a Minimum Mapping Unit (MMU) of 0.5 ha. This raster layer is largely following the FAO (Food and Agriculture Organisation of the United Nations) forest definition with tree covered areas in agricultural and urban context excluded using the respective Forest Additional Support Layer (FADSL). This dataset is provided on a 3-yearly frequency in 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs)

The European Environment Agency (EEA) is an agency of the European Union (EU) tasked with providing independent information on the environment. Established in 1990 and headquartered in Copenhagen, Denmark, the EEA serves as a key source of environmental data, assessments, and reports for policymakers and the public across Europe. With a focus on improving environmental decision-making and promoting sustainable development, the agency plays a vital role in monitoring, analyzing, and communicating environmental trends and challenges. At its core, the EEA aims to support the development, implementation, and evaluation of EU environmental policies. It achieves this mission through a range of activities, including data collection, analysis, and reporting. The agency collaborates with national environmental agencies in EU member states, as well as other international organizations, to gather and harmonize environmental data from across Europe. This wealth of information is then used to produce high-quality assessments and reports on various environmental topics. One of the primary functions of the EEA is to provide regular assessments of the state of Europe's environment. These assessments cover a wide range of issues, including air and water quality, biodiversity, climate change, and resource use. By compiling and analyzing data from different sources, the agency produces comprehensive reports that highlight key environmental trends, identify emerging challenges, and assess progress towards environmental objectives. These assessments are invaluable tools for policymakers, helping them to make informed decisions and prioritize actions to protect and improve the environment. In addition to assessing the state of the environment, the EEA also plays a crucial role in monitoring the effectiveness of environmental policies and measures. The agency tracks the implementation of EU environmental legislation and policies, assessing their impact on the ground. By evaluating the success or shortcomings of these policies, the EEA provides valuable feedback to policymakers, helping them to refine and strengthen environmental governance at the European level. Furthermore, the EEA acts as a hub for environmental information and knowledge exchange. The agency maintains several databases and online platforms, such as the European Environmental Data Centre (EEDC) and the European Environment Information and Observation Network (EIONET), which provide access to a wealth of environmental data, maps, and indicators. These resources are freely available to policymakers, researchers, NGOs, and the public, supporting evidence-based decision-making and fostering greater transparency and accountability in environmental governance. In this page you can find the Web Services of the European Environment Agency

<p>Original provider: Happywhale Dataset credits: Happywhale and contributors Abstract: Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.-nbsp;</p>

The High Resolution Layer Cropping Patterns - Main Crop Duration (CPMCD) raster product provides the duration (in days) of the growing season for the main (annual) crop. This dataset is provided annually starting in 2017 with 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Croplands product is part of the European Union’s Copernicus Land Monitoring Service. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs)

This product displays for Anthracene, median values since 2012 that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2024. The median values ranges are derived from the following percentiles: 0-25%, 25-75%, 75-90%, >90%. Only "good data" are used, namely data with Quality Flag=1, 2, 6, Q (SeaDataNet Quality Flag schema). For water, only surface values are used (0-15 m), for sediment and biota data at all depths are used.

Water_body_chlorophyll-a - Monthly Climatology for the European Seas for the period 1960-2023 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North. Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.12, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain. Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m. Units: mg/m3. The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.