Geodetic markers of which the 3D coordinates are precisely known in common Belgian reference systems.

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.

Buildings is the INSPIRE 2D vector data set of the "Constructions" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "Building" features and the "OtherConstruction" features in accordance with the INSPIRE specifications.

This dataset comprises historical orthophotos from the 1970s to 1979, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 25 to 50 cm. The mosaics were created using aerial photography campaigns dating from 1971, 1976, 1977, 1978 and 1979. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

This dataset comprises historical orthophotos from the 1990s to 1999, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 25 to 100 cm. The mosaics were created using aerial photography campaigns dating from 1995, 1997, 1998 and 1999. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

This dataset contains the orthophotos of the floodable areas along the Meuse, the Vesdre and the Demer. These orthophotos are digital aerial photographs, taken by Hansa Luftbild following the floods of July 2021, in which the systematic distortions due to the central projection, relief and the not always perfectly vertical axis of shooting have been corrected. The orthophoto thereby obtained is metrically more accurate than an ordinary aerial photograph and is highly valuable as basic information. The resolution of the data is 6.5 cm (4 cm above the Hoëgne).

This dataset consists of historical aerial imagery (1947-2007) commissioned by the National Geographic Institute. It includes the spatial footprints and metadata of individual photographs as well as the corresponding flight paths of the aircraft used during image acquisition.

This dataset comprises historical orthophotos from the 2010s to 2019, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 25 to 100 cm. The mosaics were created using aerial photography campaigns dating from 2010, 2011, 2012, 2013, 2014 and 2015. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

Under the territorial divisions are grouped different datasets that represent fully recognised Belgian geographical units. The AdminVector dataset encompasses the statistical sectors defined by the FPS Economy, the administrative units maintained by the FPS Finance and their centres, as well as the boundary stones. The datasets of the judicial cantons and judicial districts are built on the basis of their definition in the Judicial Code. The dataset of electoral districts is built on the basis of its definition in the Electoral Code. The dataset of the postal districts contains the boundaries of the Belgian postcodes managed by bpost.

Points Of Interest - Natural elements contains point elements relating to nature, namely remarkable trees and underground cavities in Belgium.