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dataset

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  • 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.

  • Hourly forecasts for each belgian commune, from current hour up to the next 5 days. This product is not publically available.

  • Share of the cadastral surface area that is artificially developed in the cadastral surface area and not unknown to the administrative entity (region, province, district and municipality) for Wallonia

  • Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

  • The climatological network contains about 200 stations spread over the whole country. It consists of voluntary observers recruited by the RMI, professional observers of Skeyes (civil aviation) or the Air Force (military aviation) and civil servants of the state, communities or private companies. The observers measure the amount of rain fallen in the last 24 hours in the pluviometer of the RMI every morning at 8 o‘clock. In more than half of the stations the extreme air temperatures are also recorded by reading the maximum and minimum temperature in a standardized weather shelter. The observers send their observations either on a  daily or on a monthly basis to RMI. This product is not publicly available yet.

  • The eTOD digital terrain model (DTM) is a homogeneous and regular point grid indicating the elevation of the ground level in order to make a model of its surface. This DTM is obtained by resampling raw altimetric source data from the Flemish and Walloon Regions, grouped in Lambert 72 and with a resolution of 1 m; as well as data obtained internally by direct photogrammetric recording of structure points and lines based on the most recent aerial photographs for all areas not covered by regional data. For this DTM, the resolution and coordinate reference system are used as defined by the eTOD specifications.

  • Notifications of the cadastral income corresponds to the dataset describing the new cadastral incomes of property located in Belgium that has been notified to the taxpayer. This dataset is made up of seven classes. The first class includes, at national level, by fiscal status, by nature of cadastral income and by category of motivations, the number of cadastral incomes notified, the total amount of cadastral incomes notified, the median cadastral income notified, the 25th and 75th percentiles of cadastral incomes notified and the standard deviation of cadastral incomes notified. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.

  • Daily forecasts for each Belgian commune, from current day up to the next 14 days. Available parameters are : min temperature, max temperature, weather type, wind speed, wind direction, maximum hust speed, quantity of precipitation. This product is not publicly available.

  • The ceilometer CL51 employs a pulsed diode laser LIDAR technology, where short, powerful laser pulses are sent out in a vertical or near-vertical direction. The reflection of light (backscatter) caused by clouds, precipitation or other obscuration is analysed and used to determine the cloud base height, the cloud layer height and the amount of clouds (in octas) in different layers.

  • Owner occupants corresponds to the dataset relating to persons domiciled in a property over which they, or a member of their family, exercise a right in rem such as recorded by the FPS Finance for registration purposes. This dataset is composed of seven classes. The first class mentions, at national level, for each age-gender combination, by type of right in rem, the number of natural persons having such a right on their home. The lack of right in rem corresponds here to a fictitious right in rem in order to identify individuals who do not have rights on their home. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, districts, municipalities, land register divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.