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Owners' origin - Natural persons corresponds to the dataset describing the origin of the natural persons holders of real rights over immovable properties located in Belgium according to the municipality of residence for residents and according to the country or territory of residence for the non-residents. 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.
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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.
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The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2006 and the year 2012. The polygons are spread over 32 classes from the CORINE Land Cover legend which are present un Belgium. The minimum map unit is 25 ha. The conceptual scale is 1:100 000. The data set also contains a polygon layer showing changes of more than 5 ha in the land cover between 2006 and 2012.
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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.
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The Copernicus Urban Atlas (UA) provides European, comparable and detailed land use and land cover maps for the main Functional Urban Areas (FUAs). The Urban Atlas Street Tree Layer (UA-STL) is a separate layer of the Urban Atlas 2012. It includes contiguous rows or patches of trees covering 500 m² or more with a minimum width of 10 m within the urban mask of the Urban Atlas 2012. Gaps between tree patches or within a larger patch that are less than 10m wide are included in the Street Tree Layer. There is no thematic content other than the presence or absence of trees. The UA-STL is a new product and no accuracy threshold was provided as part of the Urban Atlas specifications. The UA STL product validated currently covers just over 7% of the total UA2012 area.
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This dataset contains historical orthophoto mosaics based on available aerial photographs covering parts of the Belgian territory. 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 dataset includes historical orthophotos from 1989, 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) is 10 cm. The spatial coverage of this dataset is limited to the areas for which aerial photographs were available during the mentioned period. The data can be visualized via the corresponding web services (WMS/WMTS). The orthophotos and the original aerial photographs can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.
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The average household size of private households by administrative unit (region, province, district and municipality) for Wallonia.
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Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations 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.
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'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.
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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.
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