National Geographic Institute
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This service allows the visualization of the orthophoto mosaics that were created following the floods of July 2021 in the valleys of the Vesdre, the Meuse and the Demer. 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 orthophotos based on aerial photographs acquired in July 2021 by Hansa Luftbild, commissioned by the National Geographic Institute (NGI), following the floods in the zones of the Vesdre, a part of the Meuse downstream of Liège and the Demer. The resulting orthophoto mosaics are georeferenced in the Lambert 2008 coordinate system. All orthophotos are in colour (RGB). The ground resolution (GSD) of the original data is 6.5 cm (4 cm above the Hoëgne). Through this service, the images can be viewed at a maximum resolution of 25 cm. The spatial coverage of this service is limited to the affected zones.
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Points Of Interest - patrimonial elements contains point elements relating to the patrimony, namely (water and wind)mill, (historic, commemoration, fortified) building, historic mound, ice house, castle, kiosk, shoring, non-religious monument, monumental stairs in Belgium.
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The entities included in dataset represent the Belgian waterway transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The class represents, in a linear manner, all of the waterway links between each pair of dots for the network considered. In addition to this is one class without geometry. The RestrictionForWaterCehicles class specifies for each segment the maximum tonnage of the building using the segment.
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This webservice allows viewing a digital surface model. It is a homogeneous and regular points grid which indicates the height above the surface of the earth, either the soil or any other permanent and visible element in the landscape (vegetation, construction,…). These data represent the situation of the landscape resulting from the July 2021 floods in het areas of the Vesdre, of part of the Meuse downstream from Liège and of the Demer. The heights are given relative to the Belgian zero level (fictitious zero of Uccle). The data have a resolution (size of the meshes of the regular grid) of 20 cm.
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This webservice allows the Territorial Divisions product, which represents all recognised Belgian geographical units, to be visualised. The AdminVector dataset includes the statistical, geographical and administrative units of Belgium. The dataset of the judicial cantons and arrondissements displays the geographical units used for the organisation of the courts. The dataset of the electoral cantons consists of geographical units used for the organisation of elections. The dataset of the postal districts includes the boundaries of the Belgian postal cantons. The link to the webservice is available under 'Access' at the bottom of this page.
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The DTM 5m, digital terrain model at 5m-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. The DTM 5m is the result of the assembly of different data coming from various sources and with different coordinate systems and resolutions. The 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). The DTM 5m is obtained by resampling of the DTM 1m. In addition, the DTM 5m is improved and updated internally using direct photogrammetric surveys based on the most recent aerial photographs.
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The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2012 and the year 2018. 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 2012 and 2018.
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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.
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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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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).
geo.be Metadata Catalog