Points Of Interest - Infrastructures interest contains point elements indicating the location of a infrastructure, such as a container depot, incinerator, brunnel (bridges and tunnels), rail traffic, subway access, subway and tram stops, heli- and airport, control tower, light mast, lighthouse, water tower, flashing-lamp, breakwater, harbour area, marina, ship lift, dock, embankment, sluice, stilt structure and water point in Belgium.

‘Top10Vector – Railway network’ is the dataset of the railway network in Belgium. This dataset includes 3 feature types, namely the railway track segments [RA_railwaytracksegment], railway stops [RA_railwaystop] and railway kilometer markers [RA_railwaykilometremarker]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

‘Top10Vector – High-tension network’ is the vector dataset for the Belgian high-tension grid. The dataset consists of 2 feature types: high-voltage line segments [HT_hightensionlinesegment] and high-voltage pylons [HT_powerpylon]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

Top25Map is a digital version of the NGI’s topographic cartography on a scale of 1:25 000. These images result from the symbolisation of the objects and themes which are present in the topo-geographic inventory of the Belgian territory (ITGI), which is built and kept up-to-date by the NGI. Top25Map contains all usual themes of the NGI’s cartographic products (land use, transport, hydrography, buildings and constructions, relief,…), as well as the map lettering and the toponyms. The Top25Map cartography is appropriate to hiking.

Top50Map is a digital version of the NGI’s topographic cartography on a scale of 1:50 000. The images come from the symbolisation of the objects and the themes in the topo-geographic inventory of the Belgian territory (ITGI), which is built and kept up-to-date by the NGI. It can be used for on-screen viewing or printed on scales between 1:25 000 and 1:50 000 (recommended threshold values). Top50Map is meant for regional use.

‘Top10Vector – Land cover and Vegetation’ is the vector dataset of the land use categories of undeveloped land areas in Belgium. This dataset comprises 3 feature types, namely isolated [LC_isolatedvegetation] and linear [LC_linearvegetation] vegetation and land cover zones [LC_landcoverzone]. This dataset can be downloaded via the links in ‘Access’ at the bottom of this page.

Points Of Interest - Elements of general interest contains point elements that are classified as being of general interest, namely embassies, (federal, regional, provincial, municipality) buildings, Govroam, court houses, prisons, police stations, post offices, education, sports buildings and infrastructure, cultural places and centres, libraries and archives, attraction-, recreation-, water- and wildlife parks, camp sites, museum, provincial domains, observatory, observation points, swimming pools, chemist's, crematorium, fire station, civil defence and healthcare in Belgium.

Points Of Interest - Cult elements contains point elements relating to the cult, namely churchs (anglican, catholic, orthodox, protestant), mosques, synanogues, buddhist temples, chapels, abbeys, priories and other religious buildings or small monuments in Belgium.

The entities included in the dataset represent the physical network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The Wetland class represents poorly drained or periodically flooded portions of land, the soil of which is saturated with water but where vegetation is nevertheless able to develop. The StandingWater class represents flooded areas that are, nevertheless, completely surrounded by land.

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.