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.

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.

List of fish stocks referenced for the year 2018. The repository includes 477 stocks. Each stock is identified by a unique key in accordance with the ICES codification in use. Each record contains a stock identifier, a species or group of species identifier according to the ASFIS/FAO classification, the English stock name, the Latin name of the species, the assessment area according to the FAO codification of fishing sectors. When the stock assessment area groups a series of sectors, the first and last sectors in the series are separated by a dash.

DTM of continental margin of Cantabric Sea, resolution 100 meters. This DTM includes the whole area from coast line to deepest level (5544,23 m).

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.

This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available under the Download link indicated below. Available scales are 1M, 3M, 10M, 20M, 60M). The full dataset is available via the EC restricted download link under GISCO.NUTS_2016. Here six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2013.

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.

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

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 database on marine finfish aquaculture in the EU was created in 2017 by AND-International for the European Marine Observation and Data Network (EMODnet). The dataset provides information about the location of marine finfish farms in the EU and partner countries where data are available. There is an obligation for EU MS to inventory all authorized aquaculture sites under the Council Directive 2006/88/EC on animal health requirements. Despite this obligation, the availability of data varies among MS from no data available at all to a complete regularly updated dataset (e.g.in Ireland). As far as partner countries are concerned, data have been collected only in Norway and the UK (Scotland only) at this stage, where detailed data are provided online. Data provided here cover Cyprus, Danmark, Finland, Greece, Ireland, Malta, Norway, Spain and the UK (Scotland only). Data collection is still undergoing in other EU MS and neighbouring countries. Each point has the following attributes (where available): Country, Owner name, Status (Active, Expired, Inactive, Renewal, n.a.), Farm type (Flatfish, Diversified farm, Other specialised farm, Salmon, Salmonids, Seabass-seabream, Trout,Tuna, n.a.), Production method (Sea cages, Saltwater tanks/raceways, Saltwater ponds, Saltwater closed (recirculation), Quarantine, Other, n.a.), Production stage (Grow out for human consumption, Hatchery, Nursery, Brood stock, Reproduction, Restoration of wild stock, Put and take fisheries, Processing facility, Salughtering facility, Other, n.a.), Purpose (Commercial, Restocking, Other, n.a.), Products detailed (detailed product information names as presented in the source and translated to English), Point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), Site_ID. The farm type relies on a typology established by AND-International, based on available information on species grown. A relational table provides harmonised information about species grown using Eurostat nomenclature for the Species Group (Cods, hakes, haddocks; Flounders, halibuts, soles; Miscellaneous coastal fishes, Miscellaneous demersal fishes; Miscellaneous pelagic fishes; Salmons, trouts, smelts;Tunas, bonitos, billfishes), the species name (commercial and scientific) and the code. 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.