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  • EuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. Themes: a) Administrative (administrative boundaries, administrative areas) b) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland) c) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway) d) Settlements (built-up area, named location) e) Soil and vegetation

  • This European Soil Data Centre (ESDAC) dataset provides the maps of Topsoil Soil Organic Carbon in EU-25 (reference year 2014) that are based on LUCAS 2009 soil point data through a generalized additive model. The data provided have been prepared for use by the Land Resource Management Unit (Institute for Environment & Sustainability) of the Joint Research Centre (JRC) of the European Commission. This metadata refers to two maps: a) Map of predicted topsoil organic carbon content (g C kg-1) : The map was produced by fitting a generalised additive model between organic carbon measurements from the LUCAS survey (dependent variable) and a set of selected environmental covariates; namely slope, land cover, annual accumulated temperature, net primary productivity, latitude and longitude. The format provided is GeoTIFF. b) Map of standard error of the OC model predictions (g C kg-1): This map presents the associated uncertainty to the organic carbon content predictions. The standard error, which shows the theoretical range of deviation in the prediction made by the generalized additive model, was calculated for every pixel of the Map of predicted topsoil organic carbon content, based on the posterior covariance matrix of the fitted parameters. The format provided is GeoTIFF. The map of predicted OC content had the smallest values in Mediterranean countries and in croplands across Europe, whereas largest OC contents were predicted in wetlands, woodlands and mountainous areas. The map of the predictions' standard error had large uncertainty in northern latitudes, wetlands, moors and heathlands, whereas small uncertainty was mostly found in croplands. The map produced gives the most updated general picture of topsoil OC content at the European Union scale. IMPORTANT NOTE: this metadata is only for internal EEA use. The original metadata of this dataset prepared by ESDAC can be found here: https://esdac.jrc.ec.europa.eu/content/topsoil-soil-organic-carbon-lucas-eu25. For any problem / question / comment on this dataset, please contact ec-esdac@ec.europa.eu. About ESDAC: a) Panagos P., Van Liedekerke M., Jones A., Montanarella L., “European Soil Data Centre: Response to European policy support and public data requirements”; (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 b) European Soil Data Centre (ESDAC), esdac.jrc.ec.europa.eu, European Commission, Joint Research Centre

  • EuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. Themes: a) Administrative (administrative boundaries, administrative areas) b) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland) c) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway) d) Settlements (built-up area, named location) e) Soil and vegetation

  • EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000 covering 32 European countries: 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova and Liechtenstein. It is seamless and harmonized across boundaries.It is a seamless1 and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. EuroRegionalMap is ideal for a wide range of uses, including cartographic publishing and backdrop visualisation, or in combination with other datasets for marketing planning and socio-economic analysis, environmental analysis, and transport management. Themes: a) Administrative (administrative boundaries, administrative areas) b) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland) c) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway) d) Settlements (built-up area, named location)

  • The data set is a secondary product accompanying the terrestrial part of the Ecosystem Type Map 2012 v3.1. It provides supplemental information: • estimated geometric reliability ranging from 1 – 10 (very low to very high) • estimated thematic reliability ranging from 1 – 10 (very low to very high) • Main original LC input data source: - Corine Land Cover - Urban Atlas - Riparian Zones - Natura 2000 (N2k) - High Resolution Layer Forest - High Resolution Layer Grassland - High Resolution Layer Imperviousness - High Resolution Layer Permanent Water Bodies - OpenStreetMap Roads - OpenStreetMap Landuse • MAES Level 2 (Urban, Cropland, Grassland, Woodland and Forest, Heathland and shrub, Sparsely vegetated land, Wetlands, Marine inlets and transitional waters)

  • L'inventario dell'uso delle terre d'Italia (IUTI), finalizzato alla realizzazione del registro nazionale dei serbatoi di carbonio, classifica l'intero territorio italiano nelle sei categorie di uso delle terre: 1 Forest Land, 2 Cropland, 3 Grassland, 4 Wetland, 5 Settlements, 6 Other Lands. La classe 1, Forest Land, è divisa in due sottoclassi, "Bosco" e "Aree boscate temporaneamente prive di soprassuolo". La classe 2 è divisa in due sottoclassi, "Seminativi e altre colture erbacee" e "Colture erbacee": quest'ultima è suddivisa ulteriormente in "Arboricoltura da frutto e vivai" e "Arboricoltura da legno" per differenziare dalle formazioni boschive l'arboricoltura da frutto e da legno, previste dal sistema di contabilità dei gas ad effetto serra, secondo la Convenzione quadro sui cambiamenti climatici (UNFCCC). La classe 3 è suddivisa in "Praterie, pascolo ed incolti erbacei" e "Altre terre boscate". Questo strumento consente di rilevare le porzioni del territorio nazionale che presentano i requisiti per essere annoverate nella contabilità del Protocollo di Kyoto, stabilire a quale delle attività del Protocollo di Kyoto esse siano soggette e quindi quali regole di contabilità debbano essere applicate, e, infine, ricostruire, su sequenze temporali stabilite, le variazioni di superficie che concorrono ad aumentare o diminuire la superficie forestale nazionale oggetto di contabilità.