National Geographic Institute
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This dataset contains a matrix of distances between all Belgian municipality centres as defined in the AdminVector product. The distance is in km and is rounded to an integer.
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This web service allows downloading datasets from CORINE Land Cover-2018-Belgium, compliant with the INSPIRE data specifications
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The product is made of 5 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage for the reference year 2015. The 5 layers concern 4 distinct themes: Imperviousness, Forest, Grasslands, Wetness and Water. The 5 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified by Belgium. At the Belgian level, verification and enhancements were made by IV for the northern part and SPW for the outhern part. The NGI coordinated the project. Data was produced with funding by the European Union. Copyright Copernicus Programme DISCLAIMER: National Geographic Institute has undertaken to distribute the data on behalf of EEA under Specific Contract No 3436/R0-Copernicus/EEA.57005 implementing Framework service contract No EEA/IDM/R0/16/009/Belgium. National Geographic Institute accepts no responsibility or liability whatsoever with regard to the content and use of these data.” The European Environment Agency accepts no responsibility or liability whatsoever with regard to the information on this site and the information does not necessarily reflect the official opinion of the EEA or other European Communities bodies and institutions.
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The DSM 1m, digital surface model at 1m-resolution, is a homogeneous and regular point grid indicating the height of the Earth’s surface level in order to model its landscape, also including objects on the surface such as vegetation and buildings. The DSM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish (2013-2015) and Brussels (2021) Regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region (2021-2022).
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The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2006 and the year 2012. The polygons are spread over 32 classes from the CORINE Land Cover legend which are present un Belgium. The minimum map unit is 25 ha. The conceptual scale is 1:100 000. The data set also contains a polygon layer showing changes of more than 5 ha in the land cover between 2006 and 2012.
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Whole of marks whose height with respect to the zero mark of the second general leveling is known.
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'Top10Vector - Road network' is the vector dataset of the Belgian road network. It contains five feature types including 3 types of segments: road segments [RO_roadsegment], path segments [RO_pathsegment] and dirt road segments [RO_dirtroadsegment]. In addition, there are two other feature types consisting of point elements, namely kilometre markers [RO_roadkilometremarker] and traffic obstacles [RO_obstruction]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.
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'Top10Vector – Particular Zones' is the vector dataset covering areas within Belgium that are designated for a specific purpose. This dataset contains just one feature type [ZO_particularzone]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.
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The product is made of 6 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage. The 6 layers concern 6 distinct themes: Imperviousness, Tree cover density, Forest type, Permanent grasslands, Wetlands and Permanent waterbodies. The 6 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified and enhanced by Belgium. At the Belgian level, verification and enhancements were made by AGIV for the northern part and SPW for the southern part. The NGI coordinated the project.
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Geodetic markers of which the 3D coordinates are precisely known in common Belgian reference systems.
geo.be Metadata Catalog