2024
Type of resources
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INSPIRE themes
federalThemes
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An hillshade is a homogeneous and regular points grid, indicating the grey tone deriving from their orientation relative to the chosen fictitious light source. The Hillshade DTM 1m is a representation of the hillshading of the DTM 1m.
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The DTM 1m, digital terrain model at 1m-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. 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).
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The DSM 1m, digital surface model at 1m-resolution, is a homogeneous and regular point grid indicating the height of the Earth’s surface level in order to model its landscape, also including objects on the surface such as vegetation and buildings. The DSM 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).
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This AtomFeed download service provides access to datasets of GAPD that are reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.
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Real estate sales - Profile of the buyers corresponds to the dataset describing the profile of the buyers (natural persons) of real estate. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and by price range the number of real estate property that was sold as well as the number of buyers broken down by age and gender categories. 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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An hillshade is a homogeneous and regular points grid, indicating the grey tone deriving from their orientation relative to the chosen fictitious light source. The Hillshade DSM 1m is a representation of the hillshading of the DSM 1m.
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RADCLIM is a historical dataset based on weather radar observations that provides gridded accumulated precipitation composites over Belgium and surrounding regions. The data are distributed in ODIM_H5 version 2.2 format. The reported quantity is accumulated precipitation (ACRR) for 5-minute and 1-hour accumulation periods. UTC is used as the time reference, and the timestamp in the filename corresponds to the end of the accumulation period. The dataset is produced on a 700 × 700 grid with 1 km spatial resolution in the Belgian Lambert 2008 projection (Lambert Conformal Conic).
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Beach Litter count data collected across 10 beaches of the Belgian coast in 2023 and 2024 by volunteers of the citizen science association Proper Strand Lopers. One of the key indicators of abundance, composition and trends of litter in the marine environment is the amount on beaches. OSPAR monitors litter on 100m stretches at over 70 beaches in the North-East Atlantic following common monitoring guidelines. The monitoring records litter in 112 predefined litter items in 11 types: Plastic / polystyrene, Metal, Paper and cardboard, Wood, Sanitary waste, Cloth, Rubber, Glass, Pottery/ceramics, Medical waste and Faeces.
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Top250Map is a digital version of the NGI’s topographic cartography on a scale of 1:250 000. It is the smallest scale used by the NGI to produce a cartographic representation of Belgium. It focuses mainly on inhabited places and transport networks. The whole territory is available in one single file. This map is characterized by the great number of toponyms of inhabited places.
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The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. This dataset contains the catchment areas per treatment plant since the beginning of the surveillance in September 2020.
geo.be Metadata Catalog