geo.be Metadata Catalog
geo.be Metadata Catalog (National Geographic Institute)
Continents, countries, sea regions of the world.
Hail products are derived from the observed vertical profiles of radar reflectivity and the NWP vertical profiles of temperature. Three types of products are generated. poh : probability of hail of any size (larger than 0.5 cm diameter)expressed in %. posh : probability of severe hail(larger than 2cm)expressed in %. mesh : maximum expected size of hailexpressed in mm of hailstone diameter. All products are generated every 5 minutes. This product is not publically available yet.
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.
Hail detection module is an implementation of two hail detection algorithms: of Witt and of Waldvogel (Waldvogelet al., 1979). The module takes radar observations and temperature information and estimates probability of hail (POH, %), probability of severe hail (POSH, %) and maximum expected size of hail (MESH, mm). The implementation of the Waldvogel algorithm is based on the Holleman's equation (I. Holleman, 2001), which was verified for Belgium by Delobbe et al. (2003). The POH is derived in the algorithm from the presence of a substantial updraft detected above the freezing level (0º-isoterm). The implementation of the Witt algorithm is based on the weighted integration of the reflectivity values between the heights of 0º-isoterm and -20º-isotherm (Witt et al., 1998). This algorithm provides POSH and MESH estimates.
Real estate sales - Profile of the buyers
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.
The licence is fully available in French (https://finances.belgium.be/sites/default/files/Licence_plan_opendata_FR.PDF) or in Dutch (https://financien.belgium.be/sites/default/files/Licentie_plan_opendata_NL.PDF).
Real estate sales - Profile of the buyers is compiled from the contents of the reference database for the record of real estate deeds. The database records for each deed the amount of the transaction, the real right concerned, the identification of the parties and the situation of the real estate property concerned as well as its land register nature. The second database contains, for each natural person, various pieces of information from the National Register, which is the authentic source for Belgian natural persons or for foreigners domiciled in Belgium, or from the BIS Register, which is the authentic source for foreigners who have interests in Belgium but are not domiciled there.
Population structure by age groups - Wallonia
The number of inhabitants according to official statistics by age group (<20 years, >=65 years, >=80 years) and by administrative entity (region, province, district and municipality) for Wallonia.
•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.
Supplier: Statbel (IWEPS calculations) Comparable data over time, available here from 1985. Each year, Statbel, the Belgian statistical office, calculates the legal population figure as determined by Belgian law. For this, Statbel draws demographic data from the national register (RN). The RN is a legal tool that has existed in Belgium since 1983 which centralizes the population registers established in each Belgian municipality from 1846. It registers all residents of Belgium in different registers: mainly the population register and foreigners (the Belgians and foreigners domiciled - authorized to settle or stay for more than three months - in Belgium), the waiting register (political refugee candidates) and diplomatic and consular registers as well as that of European officials and members of other institutions international organizations (NATO) and their families. The official population of Belgium, which serves as the basis for the calculations of demographic indices, counts all of the RN people who have their main residence in Belgium, excluding the waiting register.
Belgian Lightning Location System (BELLS)
Total lightning observations, i.e., cloud-to-ground (CG) strokes and intra/inter-cloud (IC) pulses, in Belgium. BELLS data is given in Universal Time! (local time winter = UT +1; local time summer = UT + 2). Each record contains following fields: 1. Network type, 0 = LF, 1 = VHF-TOA, 2 = VHF-ITF, 3 = VLF 2. Year, 1970 to 2032. 3. Month, with January as 1 and December as 12. 4. Day of the month, 1 to 31. 5. Hour, 0 to 23. 6. Minute, 0 to 59. 7. Second, 0 to 60. 8. Nanosecond, 0 to 999999999. 9. Latitude of the calculated location in decimal degrees, to 4 decimal places, -90.0 to 90.0. 10. Longitude of the calculated location in decimal degrees, to 4 decimal places, -180.0 to 180.0. 11. Altitude in meters, -4950 to +60535. This field will be 0 if the altitude is not provided in the lightning data. 12. The altitude uncertainty in meters. This field will be 0 if the altitude uncertainty is not provided in the lightning data. 13. Estimated peak current in kiloamps, -9999 to 9999. 14. VHF Range normalized power, -9999.0 to 9999.0 15. Multiplicity for flash data (1 to 99) or 0 for strokes. 16. Cloud pulse count for the lightning record. This field will be -1 if the lightning did not contain the cloud pulse count attribute. 17. Number of sensors participating in the solution, 2 to 99. 18. Degrees of freedom when optimizing location, 0 to 99. 19. The error ellipse angle as a clockwise bearing from 0 degrees north, 0 to 180.0 degrees 20. The error ellipse semi-major axis length in kilometers, 0 to 50.0km. 21. The error ellipse semi-minor axis length in kilometers, 0 to 50.0km. 22. Chi-squared value from location optimization, 0 to 999.99 23. Rise time of the waveform in microseconds, 0 to 99.9 24. Peak-to-zero time of the waveform in microseconds, 0 to 999.9 25. Maximum rate-of-rise of the waveform in kA/usec (will be a negative rate if discharge is negative), -999.9 to 999.9 26. Cloud indicator, 1 if Cloud-to-cloud discharge, 0 for Cloud-to-ground 27. Angle indicator, 1 if sensor angle data used to compute position, 0 otherwise 28. Signal indicator, 1 if sensor signal data used to compute position, 0 otherwise 29. Timing indicator, 1 if sensor timing data used to compute position, 0 otherwise 30. Flash ID, a unique integer value identifying the flash grouping a stroke belongs to or 0 if not set. This product is not publically available yet.
BELLS is a low-frequency ground-based lightning network. The lightning sensors and central processor are based on Vaisala technology. Only lightning records that fulfill certain quality criteria, e.g., length of the semi-major axis, minimum number of sensors participating, are included.
The European Urban Atlas provides reliable, inter-comparable, high-resolution land use and land cover data for 800 Functional Urban Area (FUA) for the 2012 reference year in EEA39 countries. This datasets contains the FUA for Belgium (Antwerpen, Brugge, Bruxelles_Brussel, Charleroi, Gent, Kortrijk, Leuven, Liege, Mons, Namur and Oostende).
The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc…) using ancillary data sources such as local city maps or online map services.
Physical loss of the seabed dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 6 (D06C01, 2018 Reporting)
This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 6, criterion 1. This dataset describes and maps the the physical loss of the seabed in the Belgian part of the North Sea (BPNS) in the period 2011-2016. The dataset combines the different human activities responsible for a loss of seabed, including wrecks, measuring piles and radar stations, pipelines, power and telecommunication cables with their rock dump, and wind farms. The area lost is mapped and quantified per year, per activity and per benthic broad habitat.
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
(Criteria) D6C1 - Physical loss of the seabed
This dataset is the result of a combination of seven smaller shapefiles representing wrecks, measuring piles and radar stations, pipelines, power and telecommunication cables with their rock dump, and wind farms. Original data were described in different coordinates system such as WGS84, ED50 and ETRS89. A buffer is applied around point geometry (wrecks, measuring piles, radar masts) to create a serie of polygon that are reprojected in WGS84. Finally all shapefiles are dissolved and published in INSPIRE compliant ETRS89-LAEA projection. The data is then dynamically made available through WFS and statically converted to an INSPIRE-compliant GML file.
Contaminants in water dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 8 (D08C01, 2018 Reporting)
This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 1. This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 1. This dataset contains the concentrations of priority substances (tributyltin, polycyclic aromatic hydrocarbons (PAHs) and polybrominated diphenylethers (PBDEs)) measured in the water column at three stations in the Belgian part of the North Sea between 2009 and 2014 (as reported in the frame of the Water Framework Directive in 2016). In total, 45 different parameters are measured.
Contaminants do not produce pollution effects
(Criteria) D8C1 - Contaminant in environment
Marine environmental pollutants measured at sea are analysed by ECOCHEM (the laboratory of RBINS-OD Nature accredited for these analyses according to ISO 17025) and imported into the IDOD database of the Belgian Marine Data Centre, following the BMDC Quality Management System. Multiple consistency checks are performed at this point, on information harmonisation, international standards mapping and value QC (units, analysis methods and outliers). The data is then dynamically made available through WFS and statically converted to an INSPIRE-compliant GML file.
The number of inhabitants on January 1 according to the official definition of the population, by administrative entity (region, province, district and municipality) for Wallonia.
Share of the cadastral land take - Wallonia
Share of the cadastral surface area that is artificially developed in the cadastral surface area and not unknown 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.
Royal Meteorological Institute of Belgium
FPS Finance - General Administration of Patrimonial Documentation (GAPD)
Walloon Institute for Evaluation, Foresight and Statistics (IWEPS)
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), Ecosystems data processing and modelling (ECODAM)
Instituut voor Landbouw- en Visserijonderzoek - Visserij (ILVO)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
Walloon Institute for Evaluation, Foresight and Statistics