https://publish.geo.be/geonetwork/srv/api/records
type: PagedCollection
type: PartialCollectionView
last page: https://publish.geo.be/geonetwork/srv/api/records
total items: 358
next page: https://publish.geo.be/geonetwork/srv/api/records
items per page: 10

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: Data.gov.be themes
themes: GEMET
themes: INSPIRE glossary
themes: Belgian Federal Thesaurus
themes: Classification of spatial data services
themes: Spatial scope
themes: INSPIRE media-types register
themes: GEMET - INSPIRE themes, version 1.0
themes: Continents, countries, sea regions of the world.
themes: INSPIRE priority data set
themes: INSPIRE layer register
themes: INSPIRE feature concept dictionary
language: eng
dataset: radclim
record: RMI DATASET RADCLIM
dataset: climate statistics
record: RMI DATASET CLIMATE STATISTICS
dataset: jabbeke hail
record: RMI DATASET JABBEKE HAIL
dataset: belgian composite hail
record: RMI DATASET BELGIAN COMPOSITE HAIL
dataset: BE STATBEL SH SU STATDIS
dataset: National Geographic Institute
dataset: Data.gov.be themes
dataset: GEMET
dataset: INSPIRE glossary
dataset: Belgian Federal Thesaurus
dataset: Classification of spatial data services
dataset: Spatial scope
dataset: INSPIRE media-types register
dataset: GEMET - INSPIRE themes, version 1.0
dataset: Continents, countries, sea regions of the world.
dataset: INSPIRE priority data set
dataset: INSPIRE layer register
dataset: INSPIRE feature concept dictionary
dataset: RMI DATASET RADCLIM
dataset: RADCLIM
dataset: RMI DATASET CLIMATE STATISTICS
dataset: Climate statistics
dataset: RMI DATASET JABBEKE HAIL
dataset: Risk of hail - Jabbeke weather radar
dataset: RMI DATASET BELGIAN COMPOSITE HAIL
dataset: Belgian risk of hail composite
dataset: Statistical sectors in Belgium (INSPIRE version)
dataset: Meteorological geographical features
dataset: Atmospheric conditions
dataset: oceanography
dataset: marine environment
dataset: coastal zone planning
dataset: concepts
dataset: WWW:LINK-1.0-http--link-
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: WWW:DOWNLOAD-1.0-ftp--download-
dataset: OGC:WMS-
dataset: WWW:LINK-1.0-http--link-https://statbel.fgov.be/nl/over-statbel/methodologie/classificaties/statistische-sectoren
dataset: WWW:LINK-1.0-http--link-https://statbel.fgov.be/sites/default/files/files/opendata/Statistische sectoren/Secteurs stat-NL tcm325-174181.pdf
dataset: WWW:LINK-1.0-http--link-https://statbel.fgov.be/sites/default/files/files/opendata/Statistische sectoren/Hervorming statistische sectoren 2025.pdf
dataset: OGC:WMTS-
dataset: WWW:LINK-1.0-http--link-https://ngi.be/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
dataset: WWW:LINK-1.0-http--link-https://opendata.fin.belgium.be/download/TechnicalSpecifications/ForeignProperties 20240101 TechSpec NL.pdf
dataset: WWW:DOWNLOAD-1.0-http--download-https://finance.belgium.be/en/experts-partners/open-data-patrimony/datasets/download-portal
dataset: INSPIRE Atom feed
dataset: Royal Meteorological Institute of Belgium
dataset: Walloon Institute for Evaluation, Foresight and Statistics
dataset: Belnet
dataset: FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium
dataset: BE.NGI-IGN
dataset: FPS Finance - General Administration of Patrimonial Documentation (GAPD)
dataset: Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell
dataset: http://localhost:8080/geonetwork/srv/resources/persons/d66208475e13451

National Geographic Institute
type: Organization

Data.gov.be themes
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

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

Classification of spatial data services
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?ref=external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope (2)

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

Continents, countries, sea regions of the world.
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

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

RADCLIM
type: Dataset
abstract: RADCLIM is a historical dataset based on weather radar observations that provides gridded accumulated precipitation composites over Belgium and surrounding regions. The data are distributed in ODIM_H5 version 2.2 format. The reported quantity is accumulated precipitation (ACRR) for 5-minute and 1-hour accumulation periods. UTC is used as the time reference, and the timestamp in the filename corresponds to the end of the accumulation period. The dataset is produced on a 700 × 700 grid with 1 km spatial resolution in the Belgian Lambert 2008 projection (Lambert Conformal Conic).
keyword: federal government
keyword: radclim
theme: Meteorological geographical features
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-0.92 47.42, -0.92 53.70, 9.67 53.70, 9.67 47.42, -0.92 47.42))
temporal: 2017-01-01T00:00:00 / 2022-12-31T00:00:00
updated: 2024-03-14
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: RADCLIM is derived from weather-radar reflectivity measurements by RMI software (RMIRADLIB2). The processing uses 3D reflectivity measurements from the radars in Wideumont and Jabbeke (RMI, Belgium), Helchteren (VMM, Belgium) and Avesnois (Météo-France, France), together with automatic rain-gauge observations from the Service Public de Wallonie (SPW), Vlaamse Milieumaatschappij (VMM), and Waterbouwkundig Laboratorium / Hydrologisch Informatiecentrum (WL/HIC) networks and provides gridded precipitation accumulations of 5 minutes and 1 hour. The 1-hour accumulation product is computed by summing consecutive 5-minute precipitation estimates. The processing chain includes quality control of radar measurements, including handling of permanent contamination and beam blockage, as well as clutter identification using satellite cloudiness products, vertical profiles of reflectivity and image texture. Radar reflectivity is then converted to ground rainfall rate, missing data are interpolated, and radar information is merged into a composite product. Gauge information is incorporated through mean field bias correction and External Drift Kriging (EDK).

https://publish.geo.be:/geonetwork/records/1e7084c0-e8c3-11ec-a3e2-186571a04de2
type: CatalogRecord
conforms to: 32557.html
issued: 2023-03-14
modified: 2023-03-14

Share of the cadastral land take - Wallonia
type: Dataset
abstract: 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
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: 2022-09-07
updated: 2023-03-03
publisher: Walloon Institute for Evaluation, Foresight and Statistics
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.

Climate statistics
type: Dataset
abstract: A climate normal is an average over a 30-years period. The period 1981-2010 is the current reference period recommended by the World Meteorological Organization (WMO). Recent climate normals are available for any locations in Belgium and several parameters including air temperature, precipitations and solar radiation. Climate normals for the reference period 1981-2010 are available for air temperature, precipitation and derived parameters (e.g., annual number of summer days, annual number of precipitation days, etc.). For solar radiation, the reference period had to be adjusted to 1984-2013 because of data availability. These climate normals are available as maps and as table for each Belgian municipality.
keyword: Reporting INSPIRE
keyword: federal government
keyword: climatology
keyword: observation
keyword: climate statistics
keyword: 1981-2010 climate normals
keyword: air temperature
keyword: precipitation
keyword: wind speed
keyword: wind direction
keyword: solar radiation
keyword: sunshine duration
keyword: Belgian municipalities
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: 1981-01-01T00:00:00 / 2009-12-31T00:00:00
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.
distribution: WWW:LINK-1.0-http--link-
distribution: WWW:DOWNLOAD-1.0-ftp--download-
data quality: The climate statistics are derived from 30-years long observations timeseries in Belgium spatially interpolated on the Belgian territory.

Risk of hail - Jabbeke weather radar
type: Dataset
abstract: 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.
keyword: federal government
keyword: hail
keyword: observation
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-1.2441 48.4919, -1.2441 53.8919, 7.3723 53.8919, 7.3723 48.4919, -1.2441 48.4919))
temporal: 2016-04-01T00:00:00 /
updated: 2025-10-07
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: 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.

Belgian risk of hail composite
type: Dataset
abstract: 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.
keyword: federal government
keyword: hail
keyword: observation
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((-1.1357 47.3877, -1.1357 53.4503, 9.7986 53.4503, 9.7986 47.3877, -1.1357 47.3877))
temporal: 2016-04-01T00:00:00 /
updated: 2025-10-07
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: 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.

https://publish.geo.be:/geonetwork/records/d63b72da-6e7f-4981-b6fe-04133a127041
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

Govroam access points localization
type: Dataset
abstract: Govroam is a " wifi roaming " solution. This service offers to the users a simple and secure access to the wireless network of their institution, but also to networks of other participating institutions. A user from an organization that participates in govroam will be able to connect to any wireless access point broadcasting govroam. The data provided here makes it possible to locate these access points.
keyword: wifi
theme: Science and technology
theme: Economy and energy
theme: National
theme: Utility and governmental services
theme: federal government
theme: internet service provider
theme: utilitiesCommunication
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: 2016-01-06
publisher: Belnet
granularity: 1000
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: OGC:WMS-
data quality: The map shows the location of Wi-Fi access points that broadcast govroam. This list is established on the basis of the information provided by the administrators of these access points (address of the building, local, ...). It is subject to change depending on the installation / uninstallation of new access points.

https://publish.geo.be:/geonetwork/records/d5f503fe-c228-48a6-9f00-927c95bbd450
type: CatalogRecord
primary topic: BE STATBEL SH SU STATDIS
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

Statistical sectors in Belgium (INSPIRE version)
type: Dataset
abstract: The data set has been established according to the INSPIRE format. It presents in the form of polygons the breakdown of Belgium in almost 20,000 statistical sectors. The statistical sector is the basic territorial unit resulting from the subdivision of the territory of municipalities by STATBEL since 1970 for the dissemination of its statistics at a finer level than the municipal level. A statistical sector cannot extend over two municipalities and any point in the municipal territory is part of one and the same statistical sector. The 1970 and 1981 versions are shown in analogue format while the 2001, 2011, 2018, 2019 etc. versions are available in digital vector format. The files can be linked to the data on population, housing and disposable income on the website of Statbel.
theme: Government and public sector
theme: Reporting INSPIRE
theme: Federal Atom
theme: Administrative, statistical and cadastral units
theme: National
theme: Statistical Unit
theme: Statistical units
theme: statistics
theme: regional statistics
theme: federal government
theme: boundaries
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.5218 49.495, 2.5218 51.496, 6.3745 51.496, 6.3745 49.495, 2.5218 49.495))
temporal: 2001-10-01 /
issued: 2001-10-01
publisher: FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium
accrual periodicity: asNeeded
granularity: 10000
language: eng
license: An open data license is available in French an Dutch See https://statbel.fgov.be/en/open-data
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-https://statbel.fgov.be/nl/over-statbel/methodologie/classificaties/statistische-sectoren
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: OGC:WMS-
distribution: WWW:LINK-1.0-http--link-https://statbel.fgov.be/sites/default/files/files/opendata/Statistische sectoren/Secteurs stat-NL tcm325-174181.pdf
distribution: WWW:LINK-1.0-http--link-https://statbel.fgov.be/sites/default/files/files/opendata/Statistische sectoren/Hervorming statistische sectoren 2025.pdf
data quality: The data set ‘Statistical sectors in Belgium (INSPIRE version)’ is derived from the data set ‘Statistical sectors in Belgium (native version)’. The statistical sectors were created based on social, economic, urbanistic or morphological characteristics as part of the population and housing census from 1970. They were outlined and represented on analogue topographic 1:10,000 maps. Since then, they were updated several times: • the general population and housing census from 1981: to take into account the increase in settlement clusters, new infrastructure works as well as the new administrative borders due to the merger of municipalities carried out since the 1970 census; • the general population and housing census from 1991: to integrate the new administrative borders from the merger of municipalities in Antwerp; • the socio-economic survey from 2001: to take into account the exchange of territories among municipalities, the increase in settlement clusters and employment zones as well as the new infrastructure works such as the TGV railway line; • the population and housing census from 2011: to integrate the new municipal borders from an exchange of territories between two municipalities (Seneffe and Manage in the province of Hainaut) ; • in 2018: to integrate an exchange of territories between Belgium and the Netherlands and to include the intertidal zone in the territory of the municipalities bordering the North Sea and the new version of the administrative borders published by the General Administration of the Patrimonial Documentation; • since 2019, the borders of statistical sectors are reviewed annually based on the municipal borders provided by the General Administration of the Patrimonial Documentation in order to take into account their evolutions and geometric corrections. The digital versions available are derived from the vectorisation of analogue 1:10,000 maps from 1981 referenced in the CRS EPSG 31370 (Belgian Lambert 72) by means of electronic tables to…

https://publish.geo.be:/geonetwork/records/946dd1dd-29fe-11f1-9d6d-20c19bc9b64c
type: CatalogRecord
conforms to: 32557.html
issued: 2026-03-31
modified: 2026-03-31

Historical orthophotos 1980s
type: Dataset
abstract: This dataset comprises historical orthophotos from the 1980s to 1989, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images is 10 cm. The mosaics were created using aerial photography campaigns dating from 1989. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/
keyword: historical orthophotos, aerial photographs, 1989, panchromatic, black and white, 10 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: 1980-01-01
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/c95b557a-1baf-4823-ad86-02b9d56bcf2f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

Foreign real estate - Property characteristics
type: Dataset
abstract: Foreign real estate - Property characteristics corresponds to the dataset of foreign real estate held by belgian taxpayers as declared to the FPS Finance (only the holders of rights allowing the enjoyment of the property are taken into account). This dataset consists of one class. This class includes, for each foreign country or territory, the number of properties in each category, the total cadastral income of these properties, the median cadastral income of each category, as well as the 25 and 75 percentiles of the cadastral income of each category.
theme: Cadastral parcels
theme: real property
theme: land and buildings
theme: land register
theme: housing
theme: Population and society
theme: AgriBuilding
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: 2024-09-30
updated: 2024-09-30
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/ForeignProperties 20240101 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: Foreign real estate - Property characteristics is based on the database of foreign cadastral income. This database contains the data declared by Belgian taxpayers holding real rights on real estate located abroad. On the basis of the data declared, the FPS Finance sets a cadastral income for each property abroad.

https://publish.geo.be:/geonetwork/records/b25e1487-8fe5-4dd2-b413-3155cb1fd53a
type: CatalogRecord
conforms to: 32557.html
issued: 2022-12-07
modified: 2022-12-07

INSPIRE download service for general marine datasets-ATOM
abstract: INSPIRE compliant download service (ATOM) for geographic information of general marine datasets made available by the Royal Belgian Institute for Natural Sciences (RBINS).
keyword: Reporting INSPIRE
keyword: Federal government
theme: oceanography
theme: marine environment
theme: coastal zone planning
theme: concepts
theme: Energy
theme: Environmental data
theme: Land and natural area cover and use
theme: National
theme: Protected sites
theme: Buildings
theme: Area management/restriction/regulation zones and reporting units
theme: Land use
theme: Environmental monitoring facilities
theme: infoProductAccessService
thumbnail: http://metadata.naturalsciences.be/geonetwork/srv/eng//resources.get
publisher: Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell
license: No conditions apply to access and use
license: No limitations on public access
distribution: INSPIRE Atom feed
relation: bmdc.be:dataset:2320

Meteorological geographical features
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Royal Meteorological Institute of Belgium
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Walloon Institute for Evaluation, Foresight and Statistics
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Floor Van Damme
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Hadewych De Sadeleer
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Anke Bracke
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Florian Van Aubel
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