geo.be Metadata Catalog
geo.be Metadata Catalog (National Geographic Institute)
https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download?ref=external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope (2)
Continents, countries, sea regions of the world.
This web service allows visualization of the Points Of Interest (POI) indicating the location of places of interest in Belgium, collected by NGI. The dataset consists of 97 POI types grouped into 6 classes (natural elements, religious elements, patrimonial elements, elements of general interest, infrastructures, economy).
Occupation and planning of sea and land areas
•The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
Top10Vector is Belgium's series of topographic vector data. The data set contains 37 feature classes, which are divided into eight themes (road network, railroad network, power grid, constructions, land use and vegetation, local relief and particular zones), all of which correspond to a so-pecific data set and can be obtained separately via the corresponding hyperlink.
HVD_cat_hydrography, HVD_cat_land_use, HVD_cat_land_cover, HVD_cat_transport networks, HVD_cat_buildings, HVD_cat_energy_resources
For this data set, the NGI aims at an update cycle of 1 year for the road network, 3 years for the constructions and 6 years for all the other themes, The update processes vary according to the theme. The road network and the constructions are updated by means of photogrammetric restitution and field surveys. The geometry of these data is updated in stereoscopy (3D), using recent aerial color photographs. Moreover, some topological rules which apply to this dataset are checked. Next, these data are passed on to the field survey service which will update the attribute data. The update of all the other themes is done by interpretation on orthophotographs and field surveys.First, the geometry and the attribute data are updated in monoscopy (2D), using recent orthophotographs. Next, these data are checked on the field and completed. The NGI collaborates with other organizations for the update of certain themes (re-use of existing data). In order to respect the update cycles whenever it is possible, we sometimes work with subcontractors.
The data consists in tables of estimated extreme precipitation quantities for precipitation durations ranging from 10 minutes to 30 days and return periods ranging from 2 to 200 years for each Belgian municipality.
rainfall intensity-duration-frequency (IDF) analysis
Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Extreme precipitation are derived from a spatial regression model fitted on rainfall observations in Belgium from 1951 to 2010. More details can be found in the following references: Van de Vyver, H. (2012) Spatial regression models for extreme precipitation in Belgium, Water Resour. Res., 48, W09549, doi :10.1029/2011WR011707. Van de Vyver, H. (2013) Practical return level mapping for extreme precipitation in Belgium, RMI scientific and technical publication 062, 30 pages.
Radar towers in the Belgian Part of the North Sea
The Royal Decree of 22 May 2019 establishing a marine spatial plan defines 1 radar tower: Radar Oostdyck (Art. 21§3). Please refer to the Belgian official gazette (\"Moniteur belge/Belgisch Staatsblad\") for official reference information.
Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use (Text with EEA relevance)
Greater North Sea, incl. the Kattegat and the English Channel
Dataset is quality assured. Dataset corresponds to a digitized version of the information published in the Belgian official gazette ("Belgisch staatsblad/Moniteur belge"). Only the information published in the official gazette has legal validity.
Share of undeveloped cadastral aera - Wallonia
Share of the cadastral surface area that is not artificially developed in the cadastral and not unknown surface area to the administrative entity (region, province, district and municipality) for Wallonia
The land use and land cover data used by IWEPS for Wallonia are taken from the Belgian Cadastre (SPF Finance). A cadastral parcel includes the buildings, annexes, outbuildings, accesses and gardens that are contiguous to it, provided that the whole forms an indivisible whole and is assigned to the same use (SPF Finance, 2014). For each cadastral parcel, the surface area and the cadastral nature are available. The latter corresponds to the main use of the parcel at the time of its last cadastral registration (e.g. house, farm, business, etc.). In 2008, a land use nomenclature was developed on the basis of a joint reflection by the standing conference on territorial development, the SPW Environment and the IWEPS. The cadastral natures were grouped into 16 land use categories. These 16 categories can be grouped together to distinguish between artificial and non-artificial land. This grouping of parcels is based on the work of the European CORINE Land Cover (CLC) project in order to facilitate comparisons with other European regions. The land registry data are not exhaustive. In 2021, 5.2% of Wallonia's territory is not registered and/or of unknown nature. The unregistered areas are part of the public space (roads, squares, railways, rivers and canals, etc.). These areas of unknown nature are not homogeneously distributed over the Walloon territory. The proportion of unknown areas varies from 2% (larger or rural municipalities) to over 20% (Liège and Visé). The Sambre-et-Meuse region accounts for a large proportion of this area.
Discovery Service - Open Maps for Europe
This is the discovery service of the pan-European spatial datasets provided by the European mapping and cadastral agencies: EuroGlobalMap, EuroRegionalMap, EuroDEM, Open Cadastral Map, Pan-European Imagery, Open Gazetteer. The datasets are openly available accessible on the platform Open Maps for Europe (OME) http://www.mapsforeurope.org/.
INSPIRE view service for the Marine Strategic Framework Directive-WMS
INSPIRE compliant view service for geographic information of the datasets of the Marine Strategic Framework Directive made available by the Royal Belgian Institute for Natural Sciences (RBINS).
INSPIRE compliant discovery service for geographic information made available by the Belgian Federal Government.
Networks of automatic lidar-ceilometer systems
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.
The cloud base height, the cloud layer height and the amount of clouds in different layers are computed by the Vaisala CL51 algorithm based on raw backscatter data (time resolution: 6 s and vertical resolution: 10 m). The sky condition algorithm is calculated every five minutes based on data collected during the last 30 minutes. The last 10 minutes are double-weighted to make the algorithm more responsive to variations in cloudiness. The algorithm uses cloud base height and timing information to find cloud base height close each other. These cloud base height are combined into clusters and a height value is calculated for each cluster. This height gives the base height of a cloud layer represented by the cluster. The algorithm reports layers by combining clusters whose heights are close to each other and then selecting clusters that cover the greatest amount of sky.
This web service allows viewing datasets from Buildings
Royal Meteorological Institute of Belgium
Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
Royal Belgian Institute of Natural Sciences (RBINS)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), GeoCell
Walloon Institute for Evaluation, Foresight and Statistics (IWEPS)
Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell