The data set includes three types of breakdown: Cities, Larger Urban zones or Functional Urban areas. BE_StatisticsBelgium_SH_SU_UA_CITY presents in the form of polygons the borders of the Belgian cities participating to the Urban Audit of the European Commission. Some cities consist in only one municipality (LAU2) while the others are the result of the aggregation of several municipalities (LAU2). Several versions of the breakdown (2001, 2002, 2010, 2019) follow one another because over the years new cities have taken part in it. The files can be linked to the statistical data collected for the Urban Audit. BE_StatisticsBelgium_SH_SU_UA_LUZ and BE_StatisticsBelgium_SH_SU_UA_FUA present in the form of polygons the areas of influence of the Urban Audit cities on the surrounding municipalities. The initial concept of Larger Urban Zones (LUZ) was replaced by the concept of Functional Urban areas (FUA) to take into account the movement of workers to the Urban Audit cities. LUZ / FUA are an aggregation of municipalities (LAU2). Several versions of the breakdown (2001, 2002, 2010, 2019) follow one another because over the years new LUZ / FUA have appeared or have seen their extension modified. The files can be linked to the statistical data collected for the Urban Audit.

This is the discovery service of the pan-European spatial datasets provided by the European mapping and cadastral agencies: EuroGlobalMap, EuroRegionalMap, EuroDEM, Open Cadastral Map, Pan-European Imagery, Open Gazetteer. The datasets are openly available accessible on the platform Open Maps for Europe (OME) http://www.mapsforeurope.org/.

Summer and winter mean wind speed given in m/s. The wind speed 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.

Mean key indicators on future climate for Belgium for precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration (spatial distributions are available through the WMS view service). The key indicators are derived from a multi-model ensemble of climate change signals or factors for a mean and high impact scenario (corresponding to respectively the 50th, and 5th or 95th percentile of the change factors), and for multiple future target years (2030, 2050, 2085, 2100).

Govroam is a " wifi roaming " solution. This service offers to the users a simple and secure access to the wireless network of their institution, but also to networks of other participating institutions. A user from an organization that participates in govroam will be able to connect to any wireless access point broadcasting govroam. The data provided here makes it possible to locate these access points.

This dataset contains a matrix of distances between all Belgian municipality centres as defined in the AdminVector product. The distance is in km and is rounded to an integer.

Annual temperature extremes given in number of days: 1/ Total number of heatwaves occurring once in 20 years; 2/ Maximum length of the heatwaves occurring once in 20 years; 3/ Hot days: Mean annual number of days with maximum temperature > 25°C; 4/ Tropical days: Mean annual number of days with maximum temperature > 30°C; 5/ Frost days: Mean annual number of days with minimum temperature < 0°C. Heatwaves are defined according to the Royal Meteorological Institute of Belgium when the maximum temperature in Uccle is >= 25°C during at least 5 consecutive days, during which at least 3 days the maximum temperature is >= 30°C. The temperature extremes 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.

This service allows the visualization of historical orthophoto mosaics based on available aerial photographs covering parts of the Belgian territory. The data is accessible via a Web Map Service (WMS). Orthophotos are aerial photographs that have been geometrically corrected (orthorectified) to eliminate distortions caused by terrain relief, lens distortion, and camera tilt. Unlike raw aerial imagery, orthophotos have a uniform scale and accurate geometry, making them suitable for cartography, measurements, and visual analysis. This specific service includes historical orthophotos from 1995, 1997, 1998 and 1999, derived from aerial surveys carried out by the National Geographic Institute (NGI). During this period, only analogue aerial photographs are available. The analogue images were scanned at high resolution and orthorectified. The resulting orthophotos were assembled into mosaics and georeferenced in the Lambert 2008 coordinate system. All orthophotos are panchromatic (black and white). The ground resolution (GSD) varies between 25 cm and 100 cm, depending on the sensor used and the surveyed area. The spatial coverage of this service is limited to the zones for which aerial photographs were available during the mentioned period. The service has been cached using the WebMercator TileMatrixSet, with a maximum scale denominator of 4,265.459167699568 metres (scale level 17).

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/

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 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.