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  • This serie clc5 describes the landscape according to the CORINE Land Cover (CLC) nomenclature. These classes contain mainly information about landcover mixed with some aspects of landuse. CLC5 is based on the more detailed German landcover model (LBM-DE) which uses separate classes for landcover and landuse and attribute-information about percentage of vegetation and sealing. The mimimum unit for an object is 1 ha. For the CLC5 dataset landcover and landuse classes are combined to unique CLC-classes taking into account the percentage of vegetation and sealing, followed by a generalisation process.

  • EuroBoundaryMap country dataset provides a geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics.

  • Hydrography of Germany, derived from the german digital landscape model at scale 1:250000. Mapped via EuroRegionalMap to satisfy INSPIRE and European Location Framework conformance. The dataset contains the hydrographic network and physical waters and is available as Open Data.

  • INSPIRE View Service for Vector Statistical Units. This service provides from NUTS250 Version 01.01..The data provided through this service covers the area of Germany. Please register at our information service (https://gdz.bkg.bund.de/) to be automatically informed on planed maintenance or changes.

  • INSPIRE Direct Access Download Service for geographical names of municipalities or parts thereof, landscapes, mountain ranges, mountains, islands, rivers, canals, lakes, seas, etc. Data is provided for the Federal Republic of Germany. The dataset is structured according to the INSPIRE Annex I Theme - Geographical Names. The selection of the geographical names is based on the map scale 1:250.000. and is derived from different statistical sources, Digital Landscape Models 1:250.000 (DLM250) and Digital Elevation Model grid width 10 m (DGM10). This service is published under the Ordinance to Determine the Conditions for Use for the Provision of Spatial Data of the Federation (GeoNutzV) and thereof free of charge.

  • INSPIRE View Service for geographical names of municipalities or parts thereof, landscapes, mountain ranges, mountains, islands, rivers, canals, lakes, seas, etc. Data is provided for the Federal Republic of Germany. The dataset is structured according to the INSPIRE Annex I Theme - Geographical Names. The selection of the geographical names is based on the map scale 1 : 250 000. and is derived from different statistical sources, Digital Landscape Models 1 : 250 000 (DLM250) and Digital Elevation Model grid width 10 m (DGM10). This service is published under the Ordinance to Determine the Conditions for Use for the Provision of Spatial Data of the Federation (GeoNutzV) and thereof free of charge.

  • INSPIRE View Service for CORINE Land Cover – 5ha. This service provides from CORINE Land Cover 5ha (CLC5) transformed datasets for the INSPIRE theme Land Cover. The data provided through this service covers the area of Germany. Erstellungsmaßstab: 25000

  • INSPIRE Direct Access Download Service for CORINE Land Cover – 5ha. This service provides from CORINE Land Cover 5ha (CLC5) transformed datasets for the INSPIRE theme Land Cover. The data provided through this service covers the area of Germany. Erstellungsmaßstab: 25000

  • INSPIRE View Service for Vector Statistical Units. This service provides from NUTS250 Version 01.01..The data provided through this service covers the area of Germany. Please register at our information service (https://gdz.bkg.bund.de/) to be automatically informed on planed maintenance or changes.

  • This dataset describes the landscape according to the CORINE Land Cover (CLC) nomenclature (clc2012). These classes contain mainly information about landcover mixed with some aspects of landuse. CLC10 is based on the more detailed German landcover model from 2012 (LBM-DE2012) which uses separate classes for landcover and landuse. For the CLC10 dataset landcover and landuse classes are combined to unique CLC-classes, followed by a generalisation process.

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