Network of marks whose planimetric coordinates are known with precision according to the reference systems which are used in Belgium.

This dataset comprises historical orthophotos from the 1960s to 1969, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 10 to 50 cm. The mosaics were created using aerial photography campaigns dating from 1961, 1966 and 1969. 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/

AdminMap is the digital version of the administrative map. Two versions exist: the most complete one on the scale of 1:300 000 and a simplified version on the scale of 1:500 000. These maps show the different administrative units on the Belgian territory, from the federal State to the center of the districts for the 1:500 000. The map also shows the map grid of the National Geographic Institute. An index allows localizing the different units. The index also contains information on the linguistic statutes and on the postal codes.

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.

Top10Vector – Local topography is the dataset of the Belgian orography. This dataset consists of eight classes. First class: earth banks. Second class: additional geometry of the slope surface. Third class: dune zone. Fourth class: historic mounds. Fifth class: cave entrances. Sixth class: cone-shaped slag heap. Seventh class: steeps. Eight class: embankments. This dataset can be downloaded via the link in 'Access'.

The hillshades are presented as a regular homogeneous grid of points indicating the grey level value resulting from their orientation with respect to the chosen fictitious light source. The 1m hillshade is the view obtained by hillshading of the 1m DTM. The 5m and 20m hillshades are the views obtained by hillshading of the 5m and 20m DTM.

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.

This AtomFeed download service provides access to federal datasets that are reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.

This AtomFeed download service provides access to federal datasets that are not reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.

This dataset comprises historical orthophotos from the 1950s to 1959, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images is 50 cm. The mosaics were created using aerial photography campaigns dating from 1951, 1952 and 1954. 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/