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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: 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: BE STATBEL SH SU STATDIS
dataset: BE SB TF PD 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: Statistical sectors in Belgium (INSPIRE version)
dataset: Population distribution per statistical sector - Belgium
dataset: ATOM-
dataset: WWW:LINK-1.0-http--link-https://statbel.fgov.be/nl/over-statbel/methodologie/classificaties/statistische-sectoren
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: OGC:WMS-
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: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/LargeScaleContourLines spectech EN.pdf
dataset: WWW:LINK-1.0-http--link-
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/Top10Vector ProductSpecification EN.pdf
dataset: WWW:LINK-1.0-http--link-https://ngi.be/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
dataset: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/e59181f0-8469-44c6-8f6c-a5e1a4af15d5-en.xml
dataset: INSPIRE WMS
dataset: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/01d4aeaf-1302-47a7-83c0-4fd0820b1427-en.xml
dataset: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/b9d3181d-9173-46e6-a257-b0e070cefabb-en.xml
dataset: WWW:LINK-1.0-http--link-https://statbel.fgov.be/en/open-data/statistical-sectors-2025
dataset: FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium

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

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

https://publish.geo.be:/geonetwork/records/52fa45ee-89df-11ee-b89a-089204088251
type: CatalogRecord
conforms to: 32557.html
issued: 2025-10-15
modified: 2025-10-15

Federal download service
abstract: This AtomFeed download service provides access to federal datasets that are not reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.
theme: infoFeatureAccessService
theme: Federal Atom
theme: Federal viewer
theme: Government and public sector
theme: Utility and governmental services
theme: federal government
theme: National
issued: 2023-11-14
updated: 2023-11-14
publisher: National Geographic Institute
accrual periodicity: asNeeded
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: ATOM-

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: 2025-10-21
modified: 2025-10-21

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: Administrative, statistical and cadastral units
theme: Reporting INSPIRE
theme: Federal Atom
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/aae93180-cd27-11eb-8857-005056a2d5a8
type: CatalogRecord
conforms to: 32557.html
issued: 2025-04-09
modified: 2025-04-09

Large scale Contour lines
type: Dataset
abstract: The contour lines are the set of lines connecting all points at the same elevation in a model used to represent the relief on a large scale.
keyword: HVD_cat_elevation
theme: Science and technology
theme: Elevation
theme: Geology and physical relief
theme: Federal Atom
theme: Elevation Vector Object
theme: relief (land)
theme: federal government
theme: altitude
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: 2021-01-15
updated: 2021-01-15
publisher: National Geographic Institute
accrual periodicity: asNeeded
granularity: 10000
language: dut
language: fre
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
distribution: OGC:WMS-
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/LargeScaleContourLines spectech EN.pdf
data quality: In order to produce our new multipurpose (GIS, CAD...) contour lines for our internal and external customers, we use our 5m resolution DTM, which is being updated continually by means of checks and modifications using photogrammetry. (This DTM is derived from the most recent 1m resolution DTMs which are supplied by the regions. They are products which are derived from the processing of point clouds from LiDAR campaigns. After reprojecting the regional data in Lambert72 into our own datum, Lambert 2008, the DTMs are interpolated again to a 5m resolution.) The updated DTM is then processed through a low filter in order to generalize the modelling of the relief by deleting superfluous details. On the basis of this DTM, contour lines with a 1m25 contour interval are generated for the entire Belgian territory. Afterwards, these contour lines are generalized by means of selection (deleting the shortest contour lines) and by smoothing.

https://publish.geo.be:/geonetwork/records/a71223fd-0bef-44b5-afe4-e3cb3e58b2dc
type: CatalogRecord
conforms to: 32557.html
issued: 2025-10-02
modified: 2025-10-02

Top10Vector – Soil cover and vegetation
type: Dataset
abstract: Top10Vector – Land cover and vegetation is the vector data set of the land use of unbuilt land areas in Belgium. This data set includes three classes. First class: dry and unbuilt areas or areas not used as roads. Second class: hedges. Third class: linear vegetation. This data set can be bought via the corresponding hyperlink.
keyword: HVD_cat_land cover
theme: Science and technology
theme: Land and natural area cover and use
theme: Federal Atom
theme: National
theme: Land cover
theme: vegetation
theme: land occupation
theme: federal government
theme: biota
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: 2024-06-07
publisher: National Geographic Institute
accrual periodicity: quarterly
granularity: 10000
language: dut
license: No limitations on public access
license: https://creativecommons.org/licenses/by/4.0/
distribution: OGC:WMS-
distribution: WWW:LINK-1.0-http--link-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/Top10Vector ProductSpecification EN.pdf
data quality: LC_GroundLevelLandcoverZone: the data have been collected during field campaigns and transcribed on black and white aerial photographs at the scale of 1:10 000. The limits of the parcels have been plotted on black and white flights at the scales of 1:21 000 or 1:40 000, depending on the areas and the years. Afterwards, the parcels and their identification have been structured into an homogeneous polygonal 2D layer (XY geometry in the Belgian Lambert 1972 projection). In 2006-2008, this layer has been restructured and converted into 3D (2D + Z) by geometric correlation with the old plotting data and a DTM. The data have been converted into a Belgian Lambert 2008 projection system.

https://publish.geo.be:/geonetwork/records/e59181f0-8469-44c6-8f6c-a5e1a4af15d5
type: CatalogRecord
conforms to: 32557.html
issued: 2025-11-20
modified: 2025-11-20

Orthophoto
type: Dataset
abstract: Orthophotos are digital aerial photographs in which the systematic distortions caused by the central projection, terrain relief and an image acquisition axis that is not always perfectly vertical have been corrected. The national orthophoto coverage is renewed annually. This dataset always contains the most recent operational orthophoto mosaics for the entire territory of Belgium. When the most recent acquisition campaign does not provide full coverage, the dataset is composed of the last one or two campaigns. In the current version of the dataset, the most recent national orthophoto coverage consists of a combination of the 2023 and 2024 campaigns. The orthophotos have a spatial resolution of 25 cm in Wallonia and 12.5 cm in Flanders and the Brussels-Capital Region. The source data are supplied by the Belgian administrative Regions. NGI harmonises these regional datasets (geometrically and radiometrically) into a single national mosaic, georeferenced in Lambert 2008 (EPSG:3812) and tiled according to the MapIndex1 grid. The dataset is INSPIRE-compliant and can be downloaded as compressed JPEG2000 files (JP2) per MapIndex1 tile, with the corresponding world file (.j2w) and metadata describing the extent of the tiles.
keyword: HVD_cat_orthoimagery
theme: Science and technology
theme: Orthoimagery
theme: Occupation and planning of sea and land areas
theme: Federal Atom
theme: Reporting INSPIRE
theme: Orthoimage Coverage
theme: aerial photograph
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: 2020-10-21
updated: 2025-11-20
publisher: National Geographic Institute
accrual periodicity: annually
language: ger
language: dut
language: fre
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-https://ngi.be/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
distribution: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/e59181f0-8469-44c6-8f6c-a5e1a4af15d5-en.xml
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: INSPIRE WMS
data quality: The orthophotos are available in geotiff lambert 2008 and are tiled according to the half-sheet map 1:10000. (see tiling description at orthophotos_gml_L08.zip)

https://publish.geo.be:/geonetwork/records/8aa0a821-22f4-11e9-b82f-acb57d9e6f5a
type: CatalogRecord
conforms to: 32557.html
issued: 2025-01-27
modified: 2025-01-27

CORINE High Resolution Layers-Belgium 2015
type: Dataset
abstract: The product is made of 5 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage for the reference year 2015. The 5 layers concern 4 distinct themes: Imperviousness, Forest, Grasslands, Wetness and Water. The 5 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified by Belgium. At the Belgian level, verification and enhancements were made by IV for the northern part and SPW for the outhern part. The NGI coordinated the project. Data was produced with funding by the European Union. Copyright Copernicus Programme DISCLAIMER: National Geographic Institute has undertaken to distribute the data on behalf of EEA under Specific Contract No 3436/R0-Copernicus/EEA.57005 implementing Framework service contract No EEA/IDM/R0/16/009/Belgium. National Geographic Institute accepts no responsibility or liability whatsoever with regard to the content and use of these data.” The European Environment Agency accepts no responsibility or liability whatsoever with regard to the information on this site and the information does not necessarily reflect the official opinion of the EEA or other European Communities bodies and institutions.
keyword: Copernicus
keyword: HVD_cat_land cover
theme: Environment
theme: Federal Atom
theme: Land and natural area cover and use
theme: National
theme: Land cover
theme: grassland
theme: wetland
theme: land occupation
theme: forest
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: 2017-03-15
publisher: National Geographic Institute
accrual periodicity: unknown
language: eng
license: No limitations on public access
license: https://creativecommons.org/licenses/by/4.0/
distribution: OGC:WMS-
distribution: WWW:DOWNLOAD-1.0-http--download-
data quality: The layer was completed by the automatic classification achieved by an EEA service provider. Belgium achieved a classification verification on the basis of their own thematic data and aerial photographs.

https://publish.geo.be:/geonetwork/records/01d4aeaf-1302-47a7-83c0-4fd0820b1427
type: CatalogRecord
conforms to: 32557.html
issued: 2025-01-27
modified: 2025-01-27

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/b9d3181d-9173-46e6-a257-b0e070cefabb
type: CatalogRecord
conforms to: 32557.html
issued: 2025-01-27
modified: 2025-01-27

LandUse-Particular Zone
type: Dataset
abstract: Landuse-Particular Zone is the INSPIRE 2D vector data set of the "Particular zones" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "ExistingLandUseDataSet" features and the "ExistingLandUseObject" features in accordance with the INSPIRE specifications.
keyword: HVD_cat_land use
theme: Science and technology
theme: Land use
theme: Occupation and planning of sea and land areas
theme: Federal Atom
theme: Reporting INSPIRE
theme: Existing Land Use Object
theme: Existing Land Use Data Set
theme: land cover
theme: land use
theme: federal government
theme: National
theme: imageryBaseMapsEarthCover
theme: location
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: 2020-10-25
updated: 2020-10-25
publisher: National Geographic Institute
accrual periodicity: notPlanned
granularity: 10000
language: ger
language: dut
language: fre
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: INSPIRE Atom-https://ac.ngi.be/remoteclient-open/GeoBePartners-open/ATOM/b9d3181d-9173-46e6-a257-b0e070cefabb-en.xml
distribution: INSPIRE WMS
data quality: The INSPIRE data set is generated from the TOP10Vector-Particular Zones data source. https://www.geo.be/catalog/details/098a4670-27e5-4c21-9a28-5e47ea1d1173?l=en

https://publish.geo.be:/geonetwork/records/0202b8dd-1c7e-4331-8ba7-35e1fef4037a
type: CatalogRecord
primary topic: BE SB TF PD STATDIS
conforms to: 32557.html
issued: 2025-11-19
modified: 2025-11-19

Population distribution per statistical sector - Belgium
type: Dataset
abstract: The files contain the population characteristics (total, gender and/or age groups) by statistical sector in Belgium on January 1st, according to the Belgian definition of the population. The Belgian definition does not take into account the 12-months criterion and excludes asylum seekers. More information at https://ec.europa.eu/eurostat/cache/metadata/en/demo_pop_esms.htm#unit_measure1589188532500.
theme: Population and society
theme: Reporting INSPIRE
theme: Administrative, statistical and cadastral units
theme: Federal Atom
theme: National
theme: Population distribution — demography
theme: Statistical Distribution
theme: population distribution
theme: federal government
theme: human population
theme: demography
theme: society
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))
issued: 2016-03-31T16:00:00
publisher: FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium
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/en/open-data/statistical-sectors-2025
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: OGC:WMS-
data quality: These files are definitive. The statistics are derived from the National Population Register which contains every person living on the Belgian territory and their residential address. Statbel (Statistics Belgium) assigns geographic coordinates to every person by using the georeferenced address registers from the regions and from the the Land registration authority. So demographic statistics can be produced for every statistical district by aggregation of point data.

https://publish.geo.be:/geonetwork/records/92f330a7-8781-4dbd-966e-1bb8e5314009
type: CatalogRecord
conforms to: 32557.html
issued: 2025-01-27
modified: 2025-01-27

INSPIRE Contour Lines
type: Dataset
abstract: The INSPIRE contour lines used for a cartographic representation of the relief at scale 1:50000, a product of the National Geographic Institute in Belgium. The dataset features are in accordance with the INSPIRE specifications.
keyword: HVD_cat_elevation
theme: Science and technology
theme: Elevation
theme: Federal catalog
theme: Geology and physical relief
theme: Reporting INSPIRE
theme: Federal Atom
theme: Contour Line
theme: altitude
theme: relief (land)
theme: federal government
theme: National
theme: elevation
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: 2020-10-21
updated: 2020-10-21
publisher: National Geographic Institute
accrual periodicity: notPlanned
granularity: 50000
language: ger
language: dut
language: fre
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access
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