The dataset shows in the form of polygons the sand and gravel extraction sites in the Belgian marine areas as defined by the successive marine spatial plans. A 2014 version illustrates the 2014-2020 plan while the 2020 version illustrates the 2020-2026 plan.

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.

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.

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.

‘Top10Vector – High-voltage 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.

Administrative units - current situation corresponds to the dataset of administrative units from the reference database for the land register data. Administrative limits are legally defined by an administrative entity or between two administrative entities. In Belgium, administrative limits as legally defined are fixed and can only be changed by a law, ordinance or decree. The General Administration of Patrimonial Documentation of the FPS Finance is named by the federal authorities as the authentic source of Belgian administrative limits. This dataset corresponds to the current situation at the time of consultation. It is composed of five geometric classes. The first class corresponds to the whole national territory. The second corresponds to the territory of the three regions, the third to the territory of the provinces, the fourth to the territory of the administrative districts, the fifth to the territory of the municipalities. The dataset is freely downloadable via the ad hoc WFS service.

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.

Cadastral parcels - monthly situation corresponds to the dataset of the monthly situation of the cadastral parcels layer from the Land Register plan. The dataset is composed of two classes. The first class contains the geometries of the cadastral parcels; the second is a class without geometry and corresponds to a code table of the different fiscal situations used in the first class. The dataset can be freely downloaded as a zipped shapefiles.

Top10Vector is a product containing topographical vector data covering the whole of Belgium. It consists of 35 feature types grouped into 8 different topics: ‘Constructions, ‘Particular zones, ‘Land cover and vegetation, ‘High-voltage network, ‘Hydrography’, ‘Local relief’, ‘Railway network’ and ‘Road network’. The product can be downloaded in its entirety via the links in 'Access' at the bottom of this page. Each of the topics is also available as a separate dataset on their own webpage.