L’objectif général de ce projet de thèse est d’analyser et d’évaluer les données sources (actuelles et potentielles) des matrices de changements d’occupation du sol afin d’améliorer la robustesse de l’inventaire. Il s’agit d’expertiser par une démarche scientifique la pertinence des travaux réalisés annuellement pour l’inventaire UTCATF. En particulier, il s’agit de comprendre les causes des incertitudes des données sources ; compiler les données disponibles et leurs métadonnées ; étudier qualitativement les dynamiques paysagères décrites ; et redéfinir un cadre méthodologique permettant d’estimer des taux de changements plus pertinent.

Frise chronologique des millésimes de modes d'occupation des sols produits par les régions françaises et par le programme Corine Land Cover.

The database on shellfish aquaculture in the EU was created in 2014 by AND-International for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by national sources across the EU (plus Norway) and by the project Euroshell. Data are available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points representing shellfish farms or shellfish production areas (depending on available data) in the following countries: Bulgaria, Denmark, France, Greece, Ireland, Italy, Netherlands, Norway and United Kingdom. Spanish data is provided separately through WMS services. Data is missing for Germany, Portugal, Sweden, Croatia and Slovenia. Except for Germany, the shellfish production remains limited in those MS. There is no production in other MS. Each point has the following attributes (where available): status (active, inactive), country, owner name, farm type (Mussels, Oysters, Mussels-Oysters, Clams, Specialised (other), Mixed (other)), production method (Long lines, Trestles or trays, Tanks, Rafts, Beds, Raceways), production stage (Grow out for human consumption, Hatchery, Nursery, Broodstock, Reproduction, Harvest, Other), purpose (Commercial, Research, Education, Display, Other), species detailed (English translation of the information provided on species grown or authorised in the source), point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), site_id, distance to coast (metres), position from coastline (At sea, within the coastline). The farm type relies on a typology established by AND-International, based on available information on species grown or authorised. A relational table provides harmonised information about species grown or authorised using Eurostat nomenclature for the Species Group (Mussels; Oysters; Clams, cockles, arkshells; Scallops, pectens; Abalones, winkles, conchs; Sea-urchins and other echinoderms) and when available the species name (e.g. Blue mussels - Mytilus edulis). The distance to coast (EEA coastline shapefile) has been calculated using the original data map projections, where available. In the other cases it was used the UTM WGS84 Zone projected coordinate system where data fall in. Compared with the previous version this new version has been not only updated but was also reviewed (dataset schema and attributes values), in order to add information on production methods, production stages and purposes and to provide a more useful typology based on species grown. Data from Norway and Bulgaria have been added. Data from France relies on cadastral data rather than large production areas in the previous database.

The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO (https://land.copernicus.eu/imagery-in-situ/eu-hydro) and GSHHG (http://www.soest.hawaii.edu/pwessel/gshhg/). The defining criteria was altitude level = 0 from EUDEM (https://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view). Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). In this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.

Sediment substrate maps at different scales, of the French metropolitan EEZ produced in the work-package 3 the European project EMODNet Geology (phase IV). Available scales : - 1 : 1 000 000 - 1 : 250 000 - 1 : 100 000 - 1 : 50 000 - 1 : 20 000 - 1 : 15 000 - 1 : 10 000 - 1 : 5 000 Bibliographic references : - Coltman, N., Gilliland, P. & van Heteren, S. 2007. What can I do with my map? In: MESH Guide to Habitat Mapping, MESH Project, 2007, JNCC, Peterborough. Available online at: (http://www.searchmesh.net/default.aspx?page=1900) - Foster-Smith, R., Connor, D. & Davies, J. 2007. What is habitat mapping? In: MESH Guide to Habitat Mapping, MESH Project, 2007, JNCC, Peterborough. Available online at: (http://www.searchmesh.net/default.aspx?page=1900) - Väänänen, T. (ed), Hyvönen, E., Jakonen, M., Kupila, J., Lerrsi, J., Leskinen, J., Liwata, P., Nevalainen, R., Putkinen, S., Virkki, H. 2007. Maaperän yleiskartan tulkinta- ja kartoitusprosessi. Maaperän yleiskartoitus –hankkeen sisäinen raportti. 17 p.

Complete Coastline Features for all the countries that produced Corine Land Cover 2000 and have a coastline, with detailed descriptions on the environment and type of coastal areas. Each coast segment has inherited CLC 2000 class, and also the attributes from Eurosion Coastline version 2.1 2004, regarding geomorphology, type of coast and erosion trends.

This metadata refers to a dataset that shows the percentage of cities' administrative area (core city based on the Urban Morphological Zones dataset) inundated by the sea level rise of 2 metres, without any coastal flooding defences present for a series of individual coastal European cities (included in Urban Audit). The dataset has been computed using the CReSIS (Centre for Remote Sensing of Ice Sheets) dataset for 2018.

The Marine Reporting Units (MRUs) are used within the reporting obligations of the Marine Strategy Framework Directive (MSFD) in order to link the implementation of the different articles to specific marine areas. The MRUs can be of varying sizes, according to the appropriate scale for the different reports (e.g. region, sub-region, regional or sub-regional subdivision, Member State marine waters, WFD coastal waters, etc.), as indicated in the Good Environmental Status 2017 Decision. The present data set is the first public version released of the MRUs used during the first cycle of implementation of the MSFD (2012-2018) in all the reporting exercises (2012 reporting of Articles 8, 9 and 10; 2014 reporting of Article 11; and 2016 reporting of Articles 13 & 14). The data set is distributed in SHP and in INSPIRE-compliant GML format.

The dataset on offshore installations for Oil and Gas exploitation and exploration activities was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu). The dataset contains points representing offshore installations and where available each point has the following attributes: ID, name, country, location block, operator, production start year, primary production, current status, category and function of the installation, sub-structure and topside weights (tonnes), water depth (metres), distance to coast (metres) and remarks. The OSPAR commission source covers data for Germany, Ireland, Spain and the United Kingdom, while for Italy data have been collected and harmonized from the Italian Ministry of Economic Development, for Norway from the Norwegian Petroleum Directorate, for Denmark from the Danish Energy Agency, for the Netherlands from the TNO - Geological Survey of the Netherlands, for Croatia from the Croatian Hydrocarbon Agency, from Marine Traffic and Helcom data on Polish and Russian installations in the Baltic Sea, from Marine Traffic data on Bulgarian, Russian and Ukrainian installations in the Black Sea, Lybian and Spanish installations in the Mediterranean Sea. Compared with the previous version this new version has been updated for all countries.

The database on offshore wind farms in the EU was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet Human Activities web portal (www.emodnet-humanactivities.eu). The database contains points and/or (where available) polygons representing offshore wind farms in the following countries: Belgium, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden and United Kingdom. Each point has the following attributes (where available): Name, Nº of turbines, Status (Approved, Planned, Dismantled, Construction, Production, Test site), Country, Year, Power (MW), Distance to coast (metres) and Area (square kilometres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in.