https://publish.geo.be/geonetwork/f0ow2say/api/records/
type: PagedCollection
type: PartialCollectionView
last page: https://publish.geo.be/geonetwork/f0ow2say/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: climate observations
record: RMI DATASET CLIMATE OBSERVATIONS
dataset: commune forecast 1h
record: RMI DATASET COMMUNE FORECAST 1H
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 CLIMATE OBSERVATIONS
dataset: Climate observations
dataset: RMI DATASET COMMUNE FORECAST 1H
dataset: Commune hourly forecasts
dataset: Meteorological geographical features
dataset: Atmospheric conditions
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: temperatureextremes-2085
dataset: OGC:WFS-
dataset: OGC:WMS-
dataset: WWW:LINK-1.0-http--link-
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications CoVWWSurv catchments EN.pdf
dataset: WWW:LINK-1.0-http--link-https://www.ngi.be/website/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
dataset: INSPIRE WMS
dataset: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/01d4aeaf-1302-47a7-83c0-4fd0820b1427-en.xml
dataset: OGC:WMTS-
dataset: WWW:LINK-1.0-http--link-https://ngi.be/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
dataset: Federal download service
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: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/Notifications 20251231 TechSpec NL.pdf
dataset: WWW:DOWNLOAD-1.0-http--download-https://finance.belgium.be/en/experts-partners/open-data-patrimony/datasets/download-portal
dataset: Royal Meteorological Institute of Belgium
dataset: Belgian Climate Centre
dataset: Sciensano
dataset: BE.NGI-IGN
dataset: FPS Home Affairs
dataset: FPS Finance - General Administration of Patrimonial Documentation (GAPD)
dataset: http://localhost:8080/geonetwork/srv/resources/persons/d17008392e14762

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

Climate observations
type: Dataset
abstract: The climatological network contains about 200 stations spread over the whole country. It consists of voluntary observers recruited by the RMI, professional observers of Skeyes (civil aviation) or the Air Force (military aviation) and civil servants of the state, communities or private companies. The observers measure the amount of rain fallen in the last 24 hours in the pluviometer of the RMI every morning at 8 o‘clock. In more than half of the stations the extreme air temperatures are also recorded by reading the maximum and minimum temperature in a standardized weather shelter. The observers send their observations either on a daily or on a monthly basis to RMI. This product is not publicly available yet.
keyword: Reporting INSPIRE
keyword: federal government
keyword: Belgian municipalities
keyword: air temperature
keyword: precipitation
keyword: climatology
keyword: inspire
theme: Meteorological geographical features
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.5454 49.497, 2.5454 51.5051, 6.4081 51.5051, 6.4081 49.497, 2.5454 49.497))
temporal: 1831-01-01T00:00:00 /
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.
data quality: A climate observation is done by voluntary, professional, civil servants, communities or private companies.

https://publish.geo.be:/geonetwork/records/5a5d5130-ca7a-11ee-ab82-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Temperature extremes - 2085
type: Dataset
abstract: Annual temperature extremes given in number of days: 1/ Total number of heatwaves occurring once in 20 years; 2/ Maximum length of the heatwaves occurring once in 20 years; 3/ Hot days: Mean annual number of days with maximum temperature > 25°C; 4/ Tropical days: Mean annual number of days with maximum temperature > 30°C; 5/ Frost days: Mean annual number of days with minimum temperature < 0°C. Heatwaves are defined according to the Royal Meteorological Institute of Belgium when the maximum temperature in Uccle is >= 25°C during at least 5 consecutive days, during which at least 3 days the maximum temperature is >= 30°C. The temperature extremes are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.
keyword: climate projections,Belgium,Representative Concentration Pathway,high resolution
theme: Atmospheric conditions
theme: Meteorology, weather and radiation conditions
theme: Environmental data
theme: Environment
theme: Abstract Monitoring Object
theme: atmospheric model
theme: climatic change
theme: climate change impact
theme: National
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: 2021-03-15
updated: 2021-03-15
publisher: Belgian Climate Centre
accrual periodicity: asNeeded
language: eng
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:DOWNLOAD-1.0-http--download-
distribution: temperatureextremes-2085
data quality: In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.

https://publish.geo.be:/geonetwork/records/fcc5e161-fa39-11ed-bcc8-186571a04de2
type: CatalogRecord
conforms to: 32557.html
issued: 2026-04-27
modified: 2026-04-27

National wastewater-based epidemiological surveillance – Catchment areas
type: Dataset
abstract: The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. This dataset contains the catchment areas per treatment plant since the beginning of the surveillance in September 2020.
keyword: Wastewater, Epidemiological surveillance, Epidemiology, Infectious diseases, Illicit drugs
theme: Environment
theme: Health
theme: Human health and safety
theme: Environmental monitoring facilities
theme: Federal viewer
theme: Federal catalog
theme: Environmental data
theme: Environmental Health Determinant Measure
theme: Environmental Monitoring Facility
theme: environment
theme: applied research
theme: applied science
theme: epidemic
theme: public health
theme: human health
theme: health
theme: virus
theme: infection
theme: infectious disease
theme: human disease
theme: disease
theme: waste water
theme: epidemiology
theme: federal government
theme: National
theme: inlandWaters
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: 2020-06-01
updated: 2024-01-01
publisher: Sciensano
accrual periodicity: biannually
granularity: 10000
language: eng
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
license: No limitations on public access
distribution: OGC:WFS-
distribution: OGC:WMS-
distribution: WWW:LINK-1.0-http--link-
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications CoVWWSurv catchments EN.pdf
data quality: The surveillance started in mid-September 2020 for the whole country. Samples are collected every week at each wastewater treatment plant (WWTP). The catchment areas of WWTPs are provided by the Vlaamse Milieumaatschappij (VMM) in Flanders, by the Société Publique de Gestion de l'Eau (SPGE) in Wallonia and by Leefmilieu Brussel/Bruxelles Environnement in Brussels. The catchment areas were redrawn in Wallonia and Brussels to comply with the polygon style used by Flanders.

https://publish.geo.be:/geonetwork/records/11ab7500-6e49-11ec-8968-7478273ff935
type: CatalogRecord
conforms to: 32557.html
issued: 2026-08-10
modified: 2026-08-10

Digital surface model Meuse, Vesdre and Demer
type: Dataset
abstract: This dataset shows 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.
theme: Science and technology
theme: Natural risk zones
theme: Elevation
theme: Geology and physical relief
theme: Elevation Grid Coverage
theme: Abstract Observed Event
theme: digital land model
theme: disaster
theme: flood
theme: National
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: 2021-10-29
updated: 2021-10-29
publisher: National Geographic Institute
accrual periodicity: notPlanned
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-https://www.ngi.be/website/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
data quality: The source data which have been used for the production of this DSM are the DSM with a resolution of 20 cm, obtained by the processing of the point cloud resulting from the correlation of the high resolution images, made by Hanse Luftbild on demand of the NGI, on 18, 20 en 21 July above the valleys of the Vesdre, the Meuse and the Demer.

https://publish.geo.be:/geonetwork/records/01d4aeaf-1302-47a7-83c0-4fd0820b1427
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Hydro - Physical Waters
type: Dataset
abstract: The entities included in the dataset represent the physical network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The Wetland class represents poorly drained or periodically flooded portions of land, the soil of which is saturated with water but where vegetation is nevertheless able to develop. The StandingWater class represents flooded areas that are, nevertheless, completely surrounded by land.
keyword: HVD_cat_hydrography
theme: Science and technology
theme: Reporting INSPIRE
theme: Federal Atom
theme: Hydrography
theme: National
theme: Standing Water
theme: Wetland
theme: Watercourse Link
theme: inland water
theme: sea
theme: federal government
theme: watercourse
theme: hydrography
theme: inlandWaters
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))
updated: 2017-03-16
publisher: National Geographic Institute
accrual periodicity: quarterly
granularity: 10000
language: dut
language: fre
license: No limitations on public access
license: https://creativecommons.org/licenses/by/4.0/
distribution: INSPIRE WMS
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/01d4aeaf-1302-47a7-83c0-4fd0820b1427-en.xml
data quality: The data have been collected in two different ways: on the one hand, by field survey, writing down the attribute data on mat-pale photographs, followed by the photogrammetric stereo restitution of the geometry in a CAD-file (with Lambert72 xyz-coordinates) and finally the topological cleaning up and the import of the attribute data in a 2D-database. On the other hand, by photogrammetric stereo restitution of the geometry in a CAD-file (with Lambert72 xyz-coordinates), followed by the import (on-site) of the attribute data in the CAD-files and finally the topological cleaning up in a 2D-database.During the dataloading into the new ITGI-model, the contents of the 2D-database have been mapped and converted into a database with Lambert2008-coordinates. The z-coordinate was recovered from the photogrammetric restitution's CAD-files or calculated on the basis of the DTM.

https://publish.geo.be:/geonetwork/records/520d0cd1-ca77-11ee-81d5-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Potential evapotranspiration - 1975
type: Dataset
abstract: Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
keyword: climate projections,Belgium,Representative Concentration Pathway,high resolution
theme: Atmospheric conditions
theme: Environmental data
theme: Meteorology, weather and radiation conditions
theme: Environment
theme: Abstract Monitoring Object
theme: atmospheric model
theme: climatic change
theme: climate change impact
theme: National
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: 2021-03-15
updated: 2021-03-15
publisher: Belgian Climate Centre
accrual periodicity: asNeeded
language: eng
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:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-potentialevapotranspiration-1975
data quality: In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.

https://publish.geo.be:/geonetwork/records/e866c4ac-29fe-11f1-a203-20c19bc9b64c
type: CatalogRecord
conforms to: 32557.html
issued: 2026-06-10
modified: 2026-06-10

Historical orthophotos 2000s
type: Dataset
abstract: This dataset contains historical orthophoto mosaics based on available aerial photographs covering parts of the Belgian territory. 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 dataset includes historical orthophotos from 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, and 2009, derived from aerial surveys carried out by the National Geographic Institute (NGI) and the Regions. From this period onward, both analogue and digital aerial photographs are available. The analogue images were scanned at high resolution and, like the digital ones, orthorectified. The resulting orthophotos were assembled into mosaics and georeferenced in the Lambert 2008 coordinate system. The orthophotos are either panchromatic (black and white) or in colour (RGB), depending on the year and location. The ground resolution (GSD) varies between 10 cm and 100 cm, depending on the sensor used and the surveyed area. The spatial coverage of this dataset is limited to the areas for which aerial photographs were available during the mentioned period. The data can be visualized via the corresponding web services (WMS/WMTS). The orthophotos and the original aerial photographs can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.
keyword: historical orthophotos, aerial photographs, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, panchromatic, black and white, RGB, 10 cm resolution, 25 cm resolution, 50 cm resolution, 100 cm resolution
theme: Orthoimagery
theme: Aerial photographs and orthophotographs
theme: Federal viewer
theme: Environment
theme: Mosaic Element
theme: Orthoimage Coverage
theme: federal government
theme: National
theme: imageryBaseMapsEarthCover
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: 2000-01-01
publisher: National Geographic Institute
accrual periodicity: asNeeded
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: OGC:WMTS-
distribution: WWW:LINK-1.0-http--link-https://ngi.be/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
distribution: OGC:WMS-
data quality: A compléter

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
data quality: The boundaries of the electoral cantons were digitised by the National Geographical Institute in accordance with the definition in Annex I of the Electoral Code. For this purpose, NGI used the authentic administrative data of the FPS Finance.

Commune hourly forecasts
type: Dataset
abstract: Hourly forecasts for each belgian commune, from current hour up to the next 5 days. This product is not publically available.
keyword: Reporting INSPIRE
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: 2018-01-01T00:00:00 /
issued: 2018-01-01
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-
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.

https://publish.geo.be:/geonetwork/records/3db017b1-37c0-11f0-aeb6-f4dd0692c5d4
type: CatalogRecord
conforms to: 32557.html
issued: 2026-07-30
modified: 2026-07-30

Notifications of the cadastral income
type: Dataset
abstract: Notifications of the cadastral income corresponds to the dataset describing the new cadastral incomes of property located in Belgium that has been notified to the taxpayer. This dataset is made up of seven classes. The first class includes, at national level, by fiscal status, by nature of cadastral income and by category of motivations, the number of cadastral incomes notified, the total amount of cadastral incomes notified, the median cadastral income notified, the 25th and 75th percentiles of cadastral incomes notified and the standard deviation of cadastral incomes notified. 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.
theme: Cadastral parcels
theme: land and buildings
theme: land register
theme: housing
theme: property tax
theme: real property
theme: Administrative, statistical and cadastral units
theme: taxation
theme: federal government
theme: National
theme: planningCadastre
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: 2025-05-28
updated: 2026-07-24
publisher: FPS Finance - General Administration of Patrimonial Documentation (GAPD)
accrual periodicity: annually
language: ger
language: fre
language: dut
language: eng
license: 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).
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/Notifications 20251231 TechSpec NL.pdf
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:DOWNLOAD-1.0-http--download-https://finance.belgium.be/en/experts-partners/open-data-patrimony/datasets/download-portal
data quality: Notifications of the cadastral income is compiled from the contents of the reference database for the land register data. It records, for each parcel its cadastral income (i.e. the annual net rental value of the property on January 1st 1975, the reference year for property tax purposes) and the various related information. The cadastral income is determined on the basis of taxpayers' declarations or after a possible control carried out by the FPS Finance.

Meteorological geographical features
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INSPIRE WMS
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Royal Meteorological Institute of Belgium
type: Organization

Belgian Climate Centre
type: Organization

Sciensano
type: Organization

BE.NGI-IGN
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FPS Home Affairs
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FPS Finance - General Administration of Patrimonial Documentation (GAPD)
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Rozemien De Troch
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Hadrien Maloux
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Floor Van Damme
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Valéry Lemaire
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Dienst Verkiezingen
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Gérald Henskens
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OGC:WFS-
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WWW:LINK-1.0-http--link-
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access URL: https://opendata.meteo.be

WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/Sciensano/ProductSpecifications/Data product specifications CoVWWSurv catchments EN.pdf
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INSPIRE WMS
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Federal download service
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