This service allows the consultation of the spatial metadata of the collection of historical aerial photographs (1946–2007) of the National Geographic Institute (NGI). The data is accessible via a Web Feature Service (WFS). The aerial photographs themselves are not part of the service. The collection comprises more than 72,000 aerial photographs. The images are predominantly panchromatic (black and white). From the late 1970s onwards, colour images were also acquired, and from late 2004 onwards all images were acquired in colour. The analogue aerial photographs in the collection were scanned at high resolution. This specific service comprises three layers: the centre points (centroids) of the individual aerial photographs, the footprints (the outlines of the area on the ground covered by each photograph) and the flight paths of the aircraft used during image acquisition. For each aerial photograph, all known metadata are included in the attribute table, such as the acquisition date, the flight and the strip, the dimensions, the scale, the ground resolution, the radiometry (black and white or colour), the coordinates of the centre point and the camera, lens and film used. These data make it possible to look up which historical aerial photographs are available for a given location and period, and what the characteristics of each photograph are. The aerial photographs can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.

This web service allows dowload ROB datasets. This service is compliant with the INSPIRE specifications.

Mapindex is a WMS which allows viewing the regular index grid which has been defined on five levels for the entire Belgian territory. It has been defined in order to allow a zonal geolocation. The present version is a beta version (v2) which is submitted to the emergency services. It will evolve to a standard cartographic grid.

This web service allows viewing the datasets under the Marine Strategy Framework Directive (MSFD).

Top10Vector – Land cover and vegetation is the vector dataset of the land use of unbuilt land areas in Belgium. This data set includes three classes. First class: isolated vegetation. Second class: land cover zones. Third class: linear vegetation. This dataset can be downloaded via the link in 'Access'.

This web service allows viewing datasets from Buildings

This dataset contains the spatial metadata of the collection of historical aerial photographs (1946–2007) of the National Geographic Institute (NGI). The aerial photographs themselves are not part of the dataset. The collection comprises more than 72,000 aerial photographs. The images are predominantly panchromatic (black and white). From the late 1970s onwards, colour images were also acquired, and from late 2004 onwards all images were acquired in colour. The analogue aerial photographs in the collection were scanned at high resolution. This specific dataset comprises three layers: the centre points (centroids) of the individual aerial photographs, the footprints (the outlines of the area on the ground covered by each photograph) and the flight paths of the aircraft used during image acquisition. For each aerial photograph, all known metadata are included in the attribute table, such as the acquisition date, the flight and the strip, the dimensions, the scale, the ground resolution, the radiometry (black and white or colour), the coordinates of the centre point and the camera, lens and film used. These data make it possible to look up which historical aerial photographs are available for a given location and period, and what the characteristics of each photograph are. The data can be consulted via the corresponding web service (WFS). The aerial photographs can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.

MapIndex is a regular grid of rectangular or square cells coded with alphanumeric characters. It has been defined for the Belgian territory and allows geolacating several events. The present version is a beta (v2)version which is submitted to the emergency services. It will evolve to a standard cartographic grid.