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inspireidentifiziert

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  • Download des Datensatzes Wahlbezirke der Stadt Soest (Stand: 2017) als AtomFeed

  • 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 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 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 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.

  • Über diesen WMS-Dienst werden die Öffentlichen Grünanlagen, die (vereinsgebundenen) Kleingartenanlagen, das Baum- und Spielgerätekataster der Stadt Osnabrück dargestellt.

  • The SRTM X-SAR Hillshade Mosaic is a greyscale shaded relief based on the SRTM X-SAR Elevation Mosaic. Combined with the latter, it can be used to add a 3d effect and enhance the visual resolution by pronouncing peaks and valleys.

  • Compilation of the European pre-Quaternary marine geology (section of Germany). Project partners are the national geological services of the participating countries. The map consists of data at highest available spatial resolution, map scale („multi-resolution“-concept) and data completeness vary depending on the project partner (as of 2016 September). According to the Data Specification on Geology (D2.8.II.4_v3.0) the geological map provides INSPIRE-compliant data. The WMS EMODnet-DE (INSPIRE) contains layers of the geologic units (GE.GeologicUnit) displayed correspondingly to the INSPIRE portrayal rules. The geologic units are represented graphically by stratigraphy (GE.GeologicUnit.AgeOfRocks) and lithology (GE.GeologicUnit.Lithology). The portrayal of the lithology is defined by the first named rock or rock group. Via the getFeatureInfo request the user obtains detailed information on the lithology, stratigraphy (age) and genesis (event environment and event process).

  • Transport Networks 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 road, railway, water and air network and is available as Open Data.

  • 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.