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National Geographic Institute

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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.

  • DSM 1m is a homogeneous and regular point grid indicating the height of the Earth’s surface level in order to model its landscape. DSM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish and Brussels Regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region.

  • Natura 2000 (N2K) is a network of core breeding and resting sites for rare and threatened species, as well as for some rare natural habitat types which are protected in their own right. It stretches across all 28 EU countries, both on land and at sea. The aim of the network is to ensure the long-term survival of Europe's most valuable and threatened species and habitats that are listed under the Birds Directive and the Habitats Directive. This dataset contains the sites in Belgium.

  • Geodetic markers of which the 3D coordinates are precisely known in common Belgian reference systems.

  • POI

    This dataset contains a set of Points Of Interest (POI) indicating the location of places of interest in Belgium, collected by NGI. The dataset consists of 97 POI types grouped into 6 classes (natural elements, cult elements, patrimonial elements, elements of general interest, infrastructures, economy). POI types that have a link with the NGI topographic reference data are systematically monitored to ensure consistency between these data. But for other POI types, there is no guarantee of completeness and correctness. These are updated ad hoc when an error or incompleteness is noticed.

  • This AtomFeed download service provides access to federal datasets that are reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.

  • This dataset comprises historical orthophotos from the 1947s and 1948s, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images is 50 cm. The mosaics were created using aerial photography campaigns dating from 1947 and 1948. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

  • This dataset comprises historical orthophotos from the 2000s to 2009, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 25 to 100 cm. The mosaics were created using aerial photography campaigns dating from 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 and 2009. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

  • Top10Vector is Belgium's series of topographic vector data. The dataset contains 35 feature classes, which are divided into eight themes (road network, railway network, high-tension network, constructions, land cover and vegetation, local relief and particular zones). Each theme can be downloaded separately via the metadata page of the relevant theme, or collectively as Top10Vector via the link in 'Access' at the bottom of this page.

  • MapIndex is a regular grid of rectangular or square cells coded with alphanumeric characters. It has been defined for the Belgian territory and allows geolacating several events. The present version is a beta (v2)version which is submitted to the emergency services. It will evolve to a standard cartographic grid.