The eTOD digital terrain model (DTM) is a homogeneous and regular point grid that models the height of the ground level for Belgian territory and the height of the sea level in the maritime zone. The primary source is the NGI DTM 5m, which is itself compiled based on the most recent altimetry data of the three Belgian regions and is periodically updated per map sheet at a scale of 1:50,000 using recent stereoscopic aerial images. Where available, updates from the notification platform for aviation obstacles and terrain changes are also integrated. For this DTM, the resolution (1 arcsecond) and the coordinate reference system (WGS84 + EGM2008) are used as defined in the eTOD specifications.

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/.

Owners' origin - Real estate companies corresponds to the dataset describing the origin of the legal persons engaged in real estate activities (section L of the NACE-BEL 2008 nomenclature) that are holders of real rights over immovable properties located in Belgium according to the municipality of their headquarters for legal persons settled in Belgium and according to the country or territory of their headquarters for foreign legal persons. This dataset is made up of seven classes. The first class shows, at national level, for each type of property, the total number of parcels, the number of parcels held by holders from each Belgian municipality and the number of parcels held by holders from each country or territory. The number of parcels takes into account the shares actually held. The second class shows this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, land register divisions and statistical sectors. The dataset is freely downloadable, in the form of zipped CSV files.

Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

Annual and seasonal precipitation indices given in number of days: 1/ Wet days: Number of days with precipitation > 0.1 mm/day for winter, autumn, spring, summer; 2/ Dry days: Number of days with precipitation < 0.1 mm/day for winter, autumn, spring, summer; 3/ Average length of dry spells: Mean duration of minimum three consecutive days with precipitation < 0.1 mm/day; 4/ Maximum length of dry spells: Longest period of minimum three consecutive days with precipitation < 0.1 mm/day, occurring once in 20 years. The precipitation indices are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

The number of inhabitants according to official statistics per age group of 5 years and gender by administrative entity (region, province, district and municipality) for Wallonia.

The DTM 5m, digital terrain model at 5m-resolution, is a homogeneous and regular point grid indicating the height of the ground level in order to model its surface, without taking into account objects on the surface such as buildings and vegetation. The DTM 5m is the result of the assembly of different data coming from various sources and with different coordinate systems and resolutions. The DTM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish (2013-2015) and Brussels (2021) regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region (2021-2022). The DTM 5m is obtained by resampling of the DTM 1m. In addition, the DTM 5m is improved and updated internally using direct photogrammetric surveys based on the most recent aerial photographs.

'Top10Vector – Local topography' is the dataset of the Belgian orography. This dataset consists of 8 feature types. The embankments [LR_embankment], earth banks [LR_earthbank] and steeps [LR_steep] are described by a linear element at the height of the ridge line. Cone-shaped slag heaps [LR_coneshapedslagheap], historic mounds [LR_historicmound] and cave entrances [LR_caveentrance] are represented by points. For the embankments, earth banks and slag heaps with a sufficiently large horizontal occupation, the additional slope surface [LR_additionalslopesurface] is also shown. Finally, dune zones [LR_dunezone] are also indicated. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

Annual, summer and winter mean temperature given in °C. The temperature fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.