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  • Points Of Interest - Cult elements contains point elements relating to the cult, namely churchs (anglican, catholic, orthodox, protestant), mosques, synanogues, buddhist temples, chapels, abbeys, priories and other religious buildings or small monuments in Belgium.

  • This web service allows viewing datasets from LandUse-Particular Zone

  • 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.

  • Orthophotos are digital aerial photographs that have been adjusted for lens distortion, topographic relief and camera tilt. This cover is renewed every three years.The orthophotographs have a minimal resolution of 50 cm. The dataset is generated from the harmonisation of the datasets owned by the Belgian administrative regions.The dataset is INSPIRE compliant. The dataset is downloadable per NGI mapsheet at scale 1:50000.

  • This web service allows viewing datasets from Buildings

  • This web service allows downloading datasets from CORINE Land Cover-2018-Belgium, compliant with the INSPIRE data specifications

  • Landuse-Particular Zone is the INSPIRE 2D vector data set of the "Particular zones" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "ExistingLandUseDataSet" features and the "ExistingLandUseObject" features in accordance with the INSPIRE specifications.

  • Buildings is the INSPIRE 2D vector data set of the "Constructions" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "Building" features and the "OtherConstruction" features in accordance with the INSPIRE specifications.

  • This web service allows viewing datasets from CORINE Land Cover-2018-Belgium.

  • The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2018. The dataset is INSPIRE compliant.