The DTM 5m, digital terrain model at 5m-resolution, is a homogeneous and regular point grid indicating the height of the ground level in order to model its surface, without taking into account objects on the surface such as buildings and vegetation. The DTM 5m is the result of the assembly of different data coming from various sources and with different coordinate systems and resolutions. The DTM 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). The DTM 5m is obtained by resampling of the DTM 1m. In addition, the DTM 5m is improved and updated internally using direct photogrammetric surveys based on the most recent aerial photographs.

The entities included in dataset represent the Belgian waterway transport network in the sense of the INSPIRE European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The class represents, in a linear manner, all of the waterway links between each pair of dots for the network considered. In addition to this is one class without geometry. The RestrictionForWaterCehicles class specifies for each segment the maximum tonnage of the building using the segment.

Electricity network is the INSPIRE vector data set originated from the High-Tension network of the product TOP10Vector of the National Geographic Institute in Belgium. The Electricity network is regularly updated with the ELIA Group data sources. It includes the "ElectricityCable" features and the "Pole" features in accordance with the INSPIRE specifications.

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.

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.

Landuse-Particular Zone is the INSPIRE 2D vector data set of the "Particular zones" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "ExistingLandUseDataSet" features and the "ExistingLandUseObject" features in accordance with the INSPIRE specifications.

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 - Natural elements contains point elements relating to nature, namely remarkable trees and underground cavities 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.