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.

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 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, and 2009, derived from aerial surveys carried out by the National Geographic Institute (NGI) and the Regions. From this period onward, both analogue and digital aerial photographs are available. The analogue images were scanned at high resolution and, like the digital ones, orthorectified. The resulting orthophotos were assembled into mosaics and georeferenced in the Lambert 2008 coordinate system. The orthophotos are either panchromatic (black and white) or in colour (RGB), depending on the year and location. The ground resolution (GSD) varies between 10 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 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/

This dataset contains the administrative units for the organisation of elections, within their boundaries as established by Annex I of the Electoral Code.

The dataset shows in the form of polygons the sand and gravel extraction sites in the Belgian marine areas as defined by the successive marine spatial plans. A 2014 version illustrates the 2014-2020 plan while the 2020 version illustrates the 2020-2026 plan.

Web service with currently available electronic terrain and obstacle data in Area 1 related to: - Implementing Regulation (EU) No 2017/373 on, inter alia, the common requirements for air navigation service providers, as subsequently amended; - Annex 15 to the Chicago Convention on International Civil Aviation; - ICAO document 10066 PANS-AIM: Procedures for air navigation services, Aeronautical Information Management.

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.

Summer and winter maximum daily precipitation given in mm/day that occur once in a year and once in 5, 10, 15 and 30 years (i.e. return periods of 1 year and 5, 10, 15, 30 years). The precipitation extremes are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

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).

DSM 1m is a homogeneous and regular point grid indicating the height of the Earth’s surface level in order to model its landscape. DSM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish and Brussels Regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region.