https://publish.geo.be/geonetwork/srv/api/records
type: PagedCollection
type: PartialCollectionView
last page: https://publish.geo.be/geonetwork/srv/api/records
total items: 378
next page: https://publish.geo.be/geonetwork/srv/api/records
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geo.be Metadata Catalog
type: Catalog
label: geo.be Metadata Catalog (National Geographic Institute)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: National Geographic Institute
themes: INSPIRE media-types register
themes: GEMET - INSPIRE themes, version 1.0
themes: GEMET
themes: Continents, countries, sea regions of the world.
themes: INSPIRE glossary
themes: Belgian Federal Thesaurus
themes: Spatial scope
themes: INSPIRE priority data set
themes: Classification of spatial data services
themes: INSPIRE layer register
themes: INSPIRE feature concept dictionary
language: eng
dataset: commune forecast 12h
record: RMI DATASET COMMUNE FORECAST 12H
dataset: appobs
record: RMI DATASET APPOBS
dataset: lightning
record: RMI DATASET LIGHTNING
dataset: lidar
record: RMI DATASET LIDAR
dataset: https://geo.irceline.be/csw/232844d3-26c5-47e4-9dae-1386fc4647e9
dataset: aws 10min
record: RMI DATASET AWS 10MIN
dataset: National Geographic Institute
dataset: INSPIRE media-types register
dataset: GEMET - INSPIRE themes, version 1.0
dataset: GEMET
dataset: Continents, countries, sea regions of the world.
dataset: INSPIRE glossary
dataset: Belgian Federal Thesaurus
dataset: Spatial scope
dataset: INSPIRE priority data set
dataset: Classification of spatial data services
dataset: INSPIRE layer register
dataset: INSPIRE feature concept dictionary
dataset: RMI DATASET COMMUNE FORECAST 12H
dataset: Daily commune forecasts
dataset: RMI DATASET APPOBS
dataset: RMI DATASET LIGHTNING
dataset: RMI DATASET LIDAR
dataset: RMI DATASET AWS 10MIN
dataset: Atmospheric conditions
dataset: Belgium
dataset: air
dataset: air quality
dataset: air quality monitoring
dataset: environmental policy
dataset: health protection
dataset: air quality policy
dataset: EU environmental policy
dataset: monitoring of pollution
dataset: Management zones and agglomerations (Air Quality Directive)
dataset: Model areas (Air Quality Directive)
dataset: Area management/restriction/regulation zones and reporting units
dataset: air quality management zone
dataset: National
dataset: Meteorological geographical features
dataset: WWW:LINK-1.0-http--link-
dataset: appobs:appobs
dataset: Documentation
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: WFS 1.0.0 getCapabilities document
dataset: WMS 1.3.0 getCapabilities document
dataset: ATOM-
dataset: Federal download service
dataset: OGC:WMS-
dataset: dataflow_B
dataset: aws:aws_10min
dataset: WWW:LINK-1.0-http--link-https://verkiezingen.fgov.be/wetgeving/wetten
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/TerritorialDivisions ProductSpecification ENG.pdf
dataset: Royal Meteorological Institute of Belgium
dataset: Walloon Institute for Evaluation, Foresight and Statistics (IWEPS)

National Geographic Institute
type: Organization

INSPIRE media-types register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET - INSPIRE themes, version 1.0
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE glossary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Belgian Federal Thesaurus
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Spatial scope
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE priority data set
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Classification of spatial data services
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE layer register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE feature concept dictionary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Daily commune forecasts
type: Dataset
abstract: Daily forecasts for each Belgian commune, from current day up to the next 14 days. Available parameters are : min temperature, max temperature, weather type, wind speed, wind direction, maximum hust speed, quantity of precipitation. This product is not publicly available.
keyword: federal government
keyword: forecast
keyword: nowcasting
keyword: temperature
keyword: wind
keyword: precipitation
keyword: rain
keyword: snow
keyword: dewpoint temperature
keyword: cloud cover
keyword: relative humidity
keyword: specific humidity
keyword: visibility
keyword: wind chill
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.44 49.43, 2.44 51.55, 6.60 51.55, 6.60 49.43, 2.44 49.43))
temporal: 2000-04-01T00:00:00 /
issued: 2000-04-01
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: 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.
distribution: WWW:LINK-1.0-http--link-
data quality: RMI forecasters analyze all the available numeric models and choose those reflecting the situation in Belgium best. These model forecasts are then corrected by the forecasters themselves. Monthly statistics are generated to evaluate the quality of the model data and the accuracy of the corrections applied by the forecasters.

User reports from the RMI smartphone app
type: Dataset
abstract: Since August 2019, users of the RMI smartphone app are able to send an observation of the meteorological conditions at a certain place and a certain time. The observations provide information about the weather conditions and potentially severe weather to the other users and to RMI. The collection of citizen weather reports is a valuable complement to the information obtained with the classical instruments like stations, radar and satellite. The data can be exploited for nowcasting, warnings and model verification, and eventually in assimilation. A general introduction of the data and their characteristics can be found in Reyniers et al. (2023). A basic quality control is implemented on the received observations via a plausibility check. This plausibility check determines whether an observation is plausible, suspicious or false, by comparing it to the INCA-BE nowcasting system using a simple thresholding scheme. INCA-BE is RMI's operational nowcasting system described in Reyniers et al. (2021). There is no strict spatial extent since there is no restriction at the input side: users can send observations from all over the globe. The bulk of the observations are received from within Belgium. Note that the plausibility check is not available for reports from outside Belgium.
keyword: federal government
keyword: crowdsourscing
keyword: citizen science
keyword: severe weather
keyword: natural risks
keyword: cloudiness
keyword: precipitation
keyword: hail
keyword: wind
keyword: wind gust
keyword: whirlwind
keyword: floods
keyword: snow
keyword: road conditions
keyword: fog
keyword: optical phenomena
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-149.82 -42.60, -149.82 69.65, 175.46 69.65, 175.46 -42.60, -149.82 -42.60))
temporal: 2019-08-01T00:00:00 /
issued: 2019-08-01
publisher: Royal Meteorological Institute of Belgium
language: eng
license: No limitations on public access
license: 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. Scientific publications should refer to https://doi.org/10.5194/ecss2023-50
distribution: WWW:LINK-1.0-http--link-
distribution: appobs:appobs
distribution: Documentation
data quality: A basic quality control is implemented in the form of a plausibility check. Possible outcomes of this plausibility check for the validity of an observation are: 'possible', 'suspicious' or 'false'. This assessment is made immediately after the reception of the observation by comparing it to the latest INCA-BE output. There is no offline revision of this plausibility at a later time.

Belgian Lightning Location System (BELLS)
type: Dataset
abstract: 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 s…
keyword: federal government
keyword: observation
keyword: lightning
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-114.52 28.39, -114.52 59.02, 16.65 59.02, 16.65 28.39, -114.52 28.39))
temporal: 1998-01-01T00:00:00 /
updated: 2025-10-13
publisher: Royal Meteorological Institute of Belgium
language: eng
license: No limitations on public access
license: 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.
distribution: WWW:LINK-1.0-http--link-
data quality: 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.

https://publish.geo.be:/geonetwork/records/8ac4f051-e8c0-11ec-b13b-186571a04de2
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Share of undeveloped cadastral aera - Wallonia
type: Dataset
abstract: 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
keyword: Interreg
keyword: TransStat
keyword: Cross-border
keyword: Land Use
keyword: Artificialization
keyword: Region
keyword: Province
keyword: District
keyword: Municipality
theme: Land use
theme: Population statistics
theme: Statistical Distribution
theme: land planning
theme: land occupation
theme: artificial land
theme: Regional
theme: society
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.80 49.49, 2.80 50.80, 6.41 50.80, 6.41 49.49, 2.80 49.49))
issued: 2022-05-31
updated: 2023-03-03
publisher: Walloon Institute for Evaluation, Foresight and Statistics (IWEPS)
accrual periodicity: annually
language: fre
license: •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.
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-
distribution: WWW:DOWNLOAD-1.0-http--download-
data quality: 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.

Networks of automatic lidar-ceilometer systems
type: Dataset
abstract: 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.
keyword: Reporting INSPIRE
keyword: federal government
keyword: cloud cover
keyword: observation
keyword: automatic lidar ceilometer
keyword: cloud base height
keyword: CL51
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((3.202 50.194, 3.202 51.348, 5.45 51.348, 5.45 50.194, 3.202 50.194))
temporal: 2014-01-01T00:00:00 /
issued: 2014-01-01
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: 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.
distribution: WWW:LINK-1.0-http--link-
distribution: WFS 1.0.0 getCapabilities document
distribution: WMS 1.3.0 getCapabilities document
data quality: 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.

https://publish.geo.be:/geonetwork/records/3115e867-1979-42c0-9930-fedc497ba4ec
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Planimetric geodetic network
type: Dataset
abstract: Network of marks whose planimetric coordinates are known with precision according to the reference systems which are used in Belgium.
keyword: Planimetric geodetic network
keyword: Geodetic reference system
keyword: Map projection system
theme: Science and technology
theme: Geographical reference systems
theme: National
theme: Coordinate reference systems
theme: federal government
theme: geodesy
theme: location
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.52232 49.48926, 2.52232 51.50983, 6.42323 51.50983, 6.42323 49.48926, 2.52232 49.48926))
updated: 2017-01-31
publisher: National Geographic Institute
accrual periodicity: notPlanned
language: dut
language: fre
license: •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.
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-
data quality: Phased survey process which started in the inter-war period and ended in 2004.

https://publish.geo.be:/geonetwork/records/bcd19aa9-c320-4116-971b-6e4376137f13
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-19
modified: 2026-02-19

CORINE Land Cover-2012-Belgium
type: Dataset
abstract: The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2006 and the year 2012. 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 2006 and 2012.
theme: Environment
theme: Land and natural area cover and use
theme: National
theme: Land cover
theme: federal government
theme: wetland
theme: vegetation
theme: grassland
theme: forest
theme: land occupation
theme: Land Cover Data set
theme: imageryBaseMapsEarthCover
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.52232 49.48926, 2.52232 51.50983, 6.42323 51.50983, 6.42323 49.48926, 2.52232 49.48926))
issued: 2014-06-23
publisher: National Geographic Institute
accrual periodicity: irregular
granularity: 100000
language: dut
license: No limitations on public access
license: https://creativecommons.org/licenses/by/4.0/
distribution: ATOM-
distribution: Federal download service
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: OGC:WMS-
data quality: The data set contains two polygonal layers: CLC2012 and CHA12_BE. The CLC2012 layer has been produced by making the intersection between the revised CORINE Land Cover 2006 layer and the layer with changes between 2006 and 2012 (CHA12_BE). The CHA12_BE layer has been produced by a visual comparison of the i2006 and i2012 images, SPOT/IRS and SPOT/IRS images respectively which cover Belgium. The topographic maps at the 1:10 000 and 1:50 000 scales and orthophotographs have been used as additional data.

https://publish.geo.be:/geonetwork/records/232844d3-26c5-47e4-9dae-1386fc4647e9
type: CatalogRecord
primary topic: https://geo.irceline.be/csw/232844d3-26c5-47e4-9dae-1386fc4647e9
conforms to: 32557.html
issued: 2024-12-03
modified: 2024-12-03

Air quality assessment zones of Belgium
type: Dataset
abstract: The zones are used as reporting units of the air quality in Belgium. These zones are defined based on Article 3 of the 2004/107/EC Directive and Article 4 of the 2008/50/EC Directive. A zones shall mean a part of the territory of a Member State, as delimited by that Member State for the purposes of air quality assessment and management (source: 2008/50/EC).2008/50/EC Article 4: Establishment of zones and agglomerations: Member States shall establish zones and agglomerations throughout their territory. Air quality assessment and air quality management shall be carried out in all zones and agglomerations.
keyword: EU Directive 2008/50/EC
keyword: air quality
keyword: Dataflow B
keyword: Air Quality Assessment Zones
keyword: Reporting INSPIRE
keyword: Air Quality Directive
keyword: AQD
keyword: 32008L0050
theme: Belgium
theme: air
theme: air quality
theme: air quality monitoring
theme: environmental policy
theme: health protection
theme: air quality policy
theme: EU environmental policy
theme: monitoring of pollution
theme: Management zones and agglomerations (Air Quality Directive)
theme: Model areas (Air Quality Directive)
theme: Area management/restriction/regulation zones and reporting units
theme: air quality management zone
theme: National
theme: climatologyMeteorologyAtmosphere
theme: environment
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.55 49.50, 2.55 51.51, 6.41 51.51, 6.41 49.50, 2.55 49.50))
temporal: 2014-01-01T09:30:00 / 2014-12-31T09:30:00
issued: 2015-12-22T09:30:00
publisher: Belgian Interregional Environment Agency (IRCEL - CELINE)
granularity: 1500000
language: eng
license: no limitation
license: No
distribution: dataflow_B
distribution: WWW:LINK-1.0-http--link-
data quality: The dataset is created in the context of the 2008/50/EC Framework Directive. The Belgian territory is devided into zones according to the instructions listed in the 2008/50/EC Directive. Air Quality Assessment Zones are pollutant specific and only applicable for a given year. The data service supports Common Query Language (CQL).

Automatic weather station (AWS) 10-min observations
type: Dataset
abstract: RMI operates a network of 17 automatic weather stations in Belgium. These weather stations report meteorological paramaters such as air pressure, temperature, relative humidity, precipitation (quantity,duration), wind (speed, gust, direction), sunshine duration, shortwave solar radiation and infrared radiation every 10 minutes.
keyword: Reporting INSPIRE
keyword: federal government
keyword: observation
keyword: air pressure
keyword: air temperature
keyword: ground temperature
keyword: relative humidity
keyword: precipitation
keyword: wind
keyword: sunshine duration
keyword: shortwave radiation
keyword: infrared radiation
theme: Meteorological geographical features
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.652403 49.507871, 2.652403 51.347375, 6.232928668 51.347375, 6.232928668 49.507871, 2.652403 49.507871))
temporal: 1995-01-01T00:10:00 /
issued: 1995-01-01
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: 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.
distribution: WWW:LINK-1.0-http--link-
distribution: aws:aws_10min
distribution: Documentation
data quality: 10-min AWS observations

https://publish.geo.be:/geonetwork/records/daca9ccf-a9e1-11ec-a672-186571a04de2
type: CatalogRecord
conforms to: 32557.html
issued: 2026-07-16
modified: 2026-07-16

Electoral cantons
type: Dataset
abstract: The dataset of the electoral cantons represents the geographical unit used for the organization of the elections. The electoral cantons were digitised based on the definitions in the Annex of the Electoral Code, which is managed by the FPS Home Affairs. The dataset consists of a single feature type, namely the boundaries of the electoral cantons [electoralcanton]. This dataset can be downloaded via the links in 'Access' at the bottom of this page.
keyword: elections
keyword: electoral districts
keyword: electoral structure
keyword: organisation of elections
keyword: boundaries
keyword: electoral cantons
keyword: HVD_cat_administrative units
theme: Government and public sector
theme: Administrative units
theme: Administrative, statistical and cadastral units
theme: Administrative Unit
theme: federal government
theme: National
theme: boundaries
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2022-03-16
updated: 2026-07-16
publisher: FPS Home Affairs
accrual periodicity: asNeeded
granularity: 10000
language: fre
language: dut
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: OGC:WMS-
distribution: Federal download service
distribution: WWW:LINK-1.0-http--link-https://verkiezingen.fgov.be/wetgeving/wetten
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/TerritorialDivisions ProductSpecification ENG.pdf
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appobs:appobs
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Documentation
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WWW:DOWNLOAD-1.0-http--download-
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format: WWW:DOWNLOAD-1.0-http--download
access URL: https://ac.ngi.be/remoteclient-open/ngi-standard-open/Vectordata/CorineLandcover/CLC2012/bcd19aa9-c320-4116-971b-6e4376137f13_x-shapefile_3812.zip
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WFS 1.0.0 getCapabilities document
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access URL: https://opendata.meteo.be/service/lidar/wfs
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WMS 1.3.0 getCapabilities document
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access URL: https://opendata.meteo.be/service/lidar/wms
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ATOM-
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Federal download service
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OGC:WMS-
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dataflow_B
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dataflow_B
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aws:aws_10min
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aws:aws_10min
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WWW:LINK-1.0-http--link-https://verkiezingen.fgov.be/wetgeving/wetten
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access URL: https://verkiezingen.fgov.be/wetgeving/wetten
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WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/TerritorialDivisions ProductSpecification ENG.pdf
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access URL: https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/TerritorialDivisions_ProductSpecification_ENG.pdf
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