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.

This dataset contains the orthophoto mosaics that were created following the floods of July 2021 in the valleys of the Vesdre, the Meuse and the Demer. Orthophotos are aerial photographs that have been geometrically corrected (orthorectified) to eliminate distortions caused by terrain relief, lens distortion, and camera tilt. Unlike raw aerial imagery, orthophotos have a uniform scale and accurate geometry, making them suitable for cartography, measurements, and visual analysis. This specific dataset includes orthophotos based on aerial photographs acquired in July 2021 by Hansa Luftbild, commissioned by the National Geographic Institute (NGI), following the floods in the zones of the Vesdre, a part of the Meuse downstream of Liège and the Demer. The resulting orthophoto mosaics are georeferenced in the Lambert 2008 coordinate system. All orthophotos are in colour (RGB). The ground resolution (GSD) is 6.5 cm (4 cm above the Hoëgne). The spatial coverage of this dataset is limited to the affected zones. The data can be visualized via the corresponding web service (WMS). The data is available on request via https://ngi.be/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/.

Territorial Divisions is the vectorproduct representing the geographical units of Belgium. The product consists of 16 feature types grouped into 4 topics: ‘AdminVector’, ‘Judicial cantons and arrondissements’, ‘Electoral cantons’ and ‘Postal cantons’. The AdminVector dataset includes the statistical, geographical and administrative units of Belgium. The dataset of the judicial cantons and arrondissements displays the geographical units used for the organisation of the courts. The dataset of the electoral cantons consists of geographical units used for the organisation of elections. The dataset of the postal cantons includes the boundaries of the Belgian postal cantons. The product can be downloaded in its entirety via the links in 'Access' at the bottom of this page. Each of the themes is also available as separate datasets on their own webpage.

Points Of Interest - Economy interest contains point elements indicating the location of an economic activity, such as a brewery, wholesale market, (commercial, industrial) building, cooling tower, gas processing/disposal, slagheap, telecommunications, wind turbine, solar panel park in Belgium.

The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2012 and the year 2018. 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 2012 and 2018.

Buildings is the INSPIRE 2D vector data set of the "Constructions" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "Building" features and the "OtherConstruction" features in accordance with the INSPIRE specifications.

INSPIRE compliant discovery service for geographic information made available by the Belgian Federal Government.

Points Of Interest - patrimonial elements contains point elements relating to the patrimony, namely (water and wind)mill, (historic, commemoration, fortified) building, historic mound, ice house, castle, kiosk, shoring, non-religious monument, monumental stairs in Belgium.

The entities included in the dataset represent the Belgian rail transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The RailLink class represents, in a linear manner, all of the rail links between each pair of dots for the network considered. The RailwayStationNode class represents occasionally all of the stations located along the network. In addition to this are two classes without geometry. The RailwatType class ranks the segments according to the type of rail transport for which they were designed. All the segments for this dataset belong to the train category. The "RailwaytElectrification" class lists the segments according to whether they are electrified or not.

This dataset contains historical orthophoto mosaics based on available aerial photographs covering parts of the Belgian territory. Orthophotos are aerial photographs that have been geometrically corrected (orthorectified) to eliminate distortions caused by terrain relief, lens distortion, and camera tilt. Unlike raw aerial imagery, orthophotos have a uniform scale and accurate geometry, making them suitable for cartography, measurements, and visual analysis. This specific dataset includes historical orthophotos from 1950, 1951, 1952 and 1954, derived from aerial surveys carried out by the National Geographic Institute (NGI). During this period, only analogue aerial photographs are available. The analogue images were scanned at high resolution and orthorectified. The resulting orthophotos were assembled into mosaics and georeferenced in the Lambert 2008 coordinate system. All orthophotos are panchromatic (black and white). The ground resolution (GSD) is 50 cm. The spatial coverage of this dataset is limited to the areas for which aerial photographs were available during the mentioned period. The data can be visualized via the corresponding web services (WMS/WMTS). The orthophotos and the original aerial photographs can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.