This is the discovery service for the metadata which are made available by the Belgian federal government. It only contains the resources which have been declared for the INSPIRE reporting, i.e. the resources which contain the keyword “reporting INSPIRE”.

The product is made of 5 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage for the reference year 2015. The 5 layers concern 4 distinct themes: Imperviousness, Forest, Grasslands, Wetness and Water. The 5 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 by Belgium. At the Belgian level, verification and enhancements were made by IV for the northern part and SPW for the outhern part. The NGI coordinated the project. Data was produced with funding by the European Union. Copyright Copernicus Programme DISCLAIMER: National Geographic Institute has undertaken to distribute the data on behalf of EEA under Specific Contract No 3436/R0-Copernicus/EEA.57005 implementing Framework service contract No EEA/IDM/R0/16/009/Belgium. National Geographic Institute accepts no responsibility or liability whatsoever with regard to the content and use of these data.” The European Environment Agency accepts no responsibility or liability whatsoever with regard to the information on this site and the information does not necessarily reflect the official opinion of the EEA or other European Communities bodies and institutions.

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.

The Copernicus Urban Atlas (UA) provides European, comparable and detailed land use and land cover maps for the main Functional Urban Areas (FUAs). The Urban Atlas Street Tree Layer (UA-STL) is a separate layer of the Urban Atlas 2012. It includes contiguous rows or patches of trees covering 500 m² or more with a minimum width of 10 m within the urban mask of the Urban Atlas 2012. Gaps between tree patches or within a larger patch that are less than 10m wide are included in the Street Tree Layer. There is no thematic content other than the presence or absence of trees. The UA-STL is a new product and no accuracy threshold was provided as part of the Urban Atlas specifications. The UA STL product validated currently covers just over 7% of the total UA2012 area.

This web service allows viewing datasets from Buildings

This web service allows viewing datasets from LandUse-Particular Zone

The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2006 and the year 2012. 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 2006 and 2012.

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.

Whole of marks whose height with respect to the zero mark of the second general leveling is known.

This web service allows visualization of the 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, religious elements, patrimonial elements, elements of general interest, infrastructures, economy).