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.

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.

s'Top10Vector – Hydrography' is the dataset of the Belgian hydrography. This dataset comprises 6 feature types. The basis of the hydrographic network is formed by watercourse segments [HY_watercoursesegment]. The surface of larger watercourses is represented by watercourse surfaces [HY_watercoursesurface]. Water surfaces [HY_watersurface] and wetlands [HY_wetland] are also included in the dataset. Water points [HY_waterpoint] are point features where water reaches the land surface naturally or disappears into the subsoil. Another type of point feature is the kilometre marker [HY_waterwaykilometremarker]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

This dataset shows a digital surface model. It is a homogeneous and regular points grid which indicates the height above the surface of the earth, either the soil or any other permanent and visible element in the landscape (vegetation, construction,…). These data represent the situation of the landscape resulting from the July 2021 floods in het areas of the Vesdre, of part of the Meuse downstream from Liège and of the Demer.

The web application G-DOC provides information on all Belgian geodetic reference points. These points can be used as starting points or checkpoints to determine coordinates according to the national reference systems. three groups of geodetic reference points are available: 3D points, altimetric points and planimetric points.

The European Urban Atlas provides reliable, inter-comparable, high-resolution land use and land cover data for 800 Functional Urban Area (FUA) for the 2012 reference year in EEA39 countries. This datasets contains the FUA for Belgium (Antwerpen, Brugge, Bruxelles_Brussel, Charleroi, Gent, Kortrijk, Leuven, Liege, Mons, Namur and Oostende).

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.

Landcover100Map is a digital version of the NGI’s topographic cartography on a scale of 1 :100 000. 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. Landcover100Map is meant for a regional use on a larger scale than the one for Top50Map, typically on the scale of a province. The land use theme is very salient in this topographic cartography. The relief is represented by shadowing.

'Top10Vector – Local topography' is the dataset of the Belgian orography. This dataset consists of 8 feature types. The embankments [LR_embankment], earth banks [LR_earthbank] and steeps [LR_steep] are described by a linear element at the height of the ridge line. Cone-shaped slag heaps [LR_coneshapedslagheap], historic mounds [LR_historicmound] and cave entrances [LR_caveentrance] are represented by points. For the embankments, earth banks and slag heaps with a sufficiently large horizontal occupation, the additional slope surface [LR_additionalslopesurface] is also shown. Finally, dune zones [LR_dunezone] are also indicated. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2018. The dataset is INSPIRE compliant.