Serveur wms public de l'Ifremer, thématique Biologie marine

The public availability of satellite data and new analytical tools for processing big data, such as the Google Earth Engine, enable us to look at coastline migration in a new way. Scripts for automated detection of the land-water boundary generate numerous data points for each part of the European coastline. When averaged by year and analyzed for a decadal period, these data points form the basis for a new pan-European coastline-migration map that covers a consistent time period relevant for present-day coastal-zone management, eliminates data gaps, and portrays a single coastline indicator that is assumed to correspond to the mid-tide land-water boundary. As part of EMODnet-Geology, Gerben Hagenaars at Deltares performed an analysis for tens of thousands of transects with a spacing of 500 meters, giving a map resolution of 1:1,000,000.

Map of estimated monthly mean daytime air temperature at 2-m height [°C], March 2009, PACA Region. The layer was generated from input satellite MODIS images (provided by NASA) and in-situ temperature measurements (collected by Meteo France and provided by ARMINES) through the application of a supervised regression techique based on support vector machines (SVM). Daytime MODIS acquisitions are daily. For each pixel, first air temperature was separately estimated from each daily MODIS observation not affected by cloud cover, and, then, the mean of the resulting estimates was displayed in the present layer. Pixels in which cloud cover was present at all observation times and sea areas were masked out. Scientific reference: G. Moser and S. B. Serpico.

WMS for EMODNet HRSM CDI services by SeaDataNet

Radar Interferometry map of the Border of Belgium and Netherlands. The blue colours correspond to positive deformation (uplift) of the ground surface related to the recharge of a mining aquifer.

This service contains entity indexes for boreholes, grab samples and geophysical data. In this service you will find marine points and lines in Europe with geological knowledge. Each feature contains main metadata for the feature including contact details to relevant authorities.

Max temperature from month 01 to month 12. 12 layers are available one for each month. Max temperature have been extracted from the webservice EMPClimate (http://www.webservice-energy.org/web-services/w3c-web-services/emp-climate-w3c).

Sea level is known to have fluctuated by more than 100 metres over repeated glacial cycles resulting in recurring exposure, inundation and migration of coastlines not only across Europe, but worldwide. Landscape response to these changes in sea level, and the preservation of these features on continental shelves around Europe, are an invaluable resource for improving our understanding of human history and environmental change over geological time. More than 10,000 features representing 26 classes of submerged landscape and palaeoenvironmental indicator ranging from mapped and modelled palaeocoastlines, evidence for submerged forests and peats, thickness of post-Last Glacial Maximum sediments and submerged freshwater springs have been collated

Shapefile of the districts in the region Provence-Alpes-Cote d'Azur (PACA) extracted from the GEOFLA products of IGN, the Frence institute of geography

Seabed substrate map of the European sea areas (e.g. the Baltic Sea, the Barents Sea, the Greater North Sea, the Celtic Sea, the Iberian Coast, the White Sea, and the Mediterranean Sea within EU waters). The map is collated and harmonized from seabed substrate information within the EMODnet-Geology project. The map is collated from data from Partners and generalized data at smaller scales. Where necessary, the existing substrate classifications (of individual maps) have been translated to a scheme that is supported by EUNIS. This EMODnet reclassification scheme consists of altogether five seabed substrate classes. Four substrate classes are defined on the basis of the modified Folk triangle (mud to sandy mud; sand; coarse sediment; and mixed sediment) and one additional substrate class (rock and boulders) was included by the project team. If the original seabed substrate dataset has enabled more detailed substrate classification, classifications with 7 and 16 substrate classes might be available. The seabed substrate maps were produced March 2019. The sedimentation rates April 2021. Note: The data may include some errors e.g. overlays, topological gaps and data discontinuities.