https://publish.geo.be/geonetwork/igiljugb/api/records
type: PagedCollection
type: PartialCollectionView
last page: https://publish.geo.be/geonetwork/igiljugb/api/records
total items: 323
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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: aws 1day
record: RMI DATASET AWS 1DAY
dataset: Download Service (WFS) for Automatic weather station (AWS) observations
record: RMI AWS WFS
dataset: BE STATBEL SH SU STATDIS
dataset: bmdc.be:dataset:2036
record: bmdc.be:dataset:2036
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 AWS 1DAY
dataset: Automatic weather station (AWS) daily observations
dataset: RMI AWS WFS
dataset: Statistical sectors in Belgium (INSPIRE version)
dataset: Population demographic characteristics dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 1 (D01C03, 2018 Reporting)
dataset: humanGeographicViewer
dataset: Meteorological geographical features
dataset: infoFeatureAccessService
dataset: Digital Object Identifier (DOI)
dataset: OGC:WFS-
dataset: OGC:WMS-
dataset: WWW:LINK-1.0-http--link-
dataset: WWW:DOWNLOAD-1.0-http--download-
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: aws:aws_1day
dataset: Documentation
dataset: INSPIRE Atom-
dataset: INSPIRE WMS
dataset: OGC:WFS-1.0.0-http-get-capabilities-
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: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
dataset: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), GeoCell
dataset: Royal Belgian Institute of Natural Sciences (RBINS)
dataset: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
dataset: Sciensano
dataset: FPS Finance - General Administration of Patrimonial Documentation (GAPD)
dataset: Royal Meteorological Institute of Belgium
dataset: FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium
dataset: Instituut voor Natuur- en Bosonderzoek / Research Institute for Nature and Forest (INBO)

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/54d2f666-7aee-4463-b60e-3583f84ffce2
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-29
modified: 2026-01-29

Measuring poles in the Belgian Part of the North Sea
type: Dataset
abstract: The Royal Decree of 22 May 2019 establishing a marine spatial plan defines 6 measuring poles: Measuring pole MOW.0 (Art. 21§2), Measuring pole MOW.1 (Art. 21§2), Measuring pole MOW.2 (Art. 21§2), Measuring pole MOW.3 (Art. 21§2), Measuring pole MOW.4 (Art. 21§2), Measuring pole Westhinder (Art. 21§2). It replaces the 2014 Marine Spatial Plan, which is included for completeness. The Royal Decree of 20 March 2014 establishing a marine spatial plan defines in its Art. 15. §3, one set of measuring pole locations. These locations are made available digitally in the resource described by this metadata document. Please refer to the Belgian official gazette (\"Moniteur belge/Belgisch Staatsblad\") for official reference information.
keyword: Marine Spatial Plan
keyword: Reporting INSPIRE
keyword: Federal government
theme: Environmental monitoring facilities
theme: Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use (Text with EEA relevance)
theme: Belgian part of the North Sea
theme: Greater North Sea, incl. the Kattegat and the English Channel
theme: monitoring equipment
theme: marine monitoring
theme: environmental planning
theme: Land and natural area cover and use
theme: Environmental data
theme: Science and technology
theme: National
theme: environment
theme: oceans
theme: planningCadastre
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.292 51.0937, 2.292 51.527, 3.27217 51.527, 3.27217 51.0937, 2.292 51.0937))
temporal: 2014-01-01 /
issued: 2021-11-18
updated: 2024-06-06
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), GeoCell
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: Dataset is quality assured. Dataset corresponds to a digitized version of the information published in the Belgian official gazette ("Belgisch staatsblad/Moniteur belge"). Only the information published in the official gazette has legal validity.

https://publish.geo.be:/geonetwork/records/fcc5e161-fa39-11ed-bcc8-186571a04de2
type: CatalogRecord
conforms to: 32557.html
issued: 2025-11-12
modified: 2025-11-12

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: Environmental monitoring facilities
theme: Human health and safety
theme: Federal catalog
theme: Federal viewer
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/468289ec-95b3-473f-be81-928b7be20b51
type: CatalogRecord
conforms to: 32557.html
issued: 2023-11-20
modified: 2023-11-20

Download service -Admininistrative units and Land register plan - current situation
abstract: This web service provides the download per object of the datasets Administrative units - current situation and Land register plan - current situation. This webservice does not comply with the INSPIRE specifications, and the datasets to which it gives access do not comply with the INSPIRE specifications.
theme: humanGeographicViewer
theme: Government and public sector
theme: Administrative, statistical and cadastral units
theme: National
theme: Cadastral parcels
theme: land and property register
theme: public service
theme: federal government
issued: 2017-01-01T12:00:00
updated: 2018-01-01
publisher: FPS Finance - General Administration of Patrimonial Documentation (GAPD)
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: OGC:WFS-

https://publish.geo.be:/geonetwork/records/b8c47880-51ef-11ec-accc-7478273ff935
type: CatalogRecord
conforms to: 32557.html
issued: 2024-03-07
modified: 2024-03-07

View service - Orthophoto Meuse, Vesdre and Demer
abstract: The service makes it possible to view the aerial photos with orthorectification taken by Hansa Luftbild at NGI's request following the floods of July 2021 in the areas of the Vesdre, part of the Meuse downstream of Liège and the Demer. The resolution of the original data is 6.5 cm (4 cm above the Hoëgne). The service allows the images to be viewed at a maximum resolution of 25 cm. Orthophotos are digital aerial photographs in which the systematic distortions due to the central projection, relief and the not always perfectly vertical axis of shooting have been corrected. The orthophoto thereby obtained is metrically more accurate than an ordinary aerial photograph and is highly valuable as basic information.
keyword: floods
theme: Science and technology
theme: infoMapAccessService
theme: Federal viewer
theme: Aerial photographs and orthophotographs
theme: Orthoimagery
theme: Natural risk zones
theme: disaster
theme: flood
theme: federal government
theme: National
issued: 2021-10-29
updated: 2021-10-29
publisher: National Geographic Institute
accrual periodicity: notPlanned
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-

Automatic weather station (AWS) daily 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. Daily AWS data are computed from the 10-min observations.
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 solar 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: daily
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_1day
distribution: Documentation
data quality: Daily AWS data are computed from the RMI 10-min AWS observations available during the considered day from 00:00 to 24:00 UTC. The daily data correspond to the sum of the 10-min observations in case of cumulative parameters (e.g., precipitation quantity, sunshine duration) and otherwise to the average, minimum of maximum of the 10-min observations. The tolerance against missing values is 10%, i.e., no daily values are computed when more than 10% of the expected 10-min observations are missing.

https://publish.geo.be:/geonetwork/records/69ff70d1-012a-4483-9a75-03233f145556
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-27
modified: 2026-01-27

Railway Transport Network
type: Dataset
abstract: The entities included in the dataset represent the Belgian rail transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The RailLink class represents, in a linear manner, all of the rail links between each pair of dots for the network considered. The RailwayStationNode class represents occasionally all of the stations located along the network. In addition to this are two classes without geometry. The RailwatType class ranks the segments according to the type of rail transport for which they were designed. All the segments for this dataset belong to the train category. The "RailwaytElectrification" class lists the segments according to whether they are electrified or not.
keyword: HVD_cat_transport networks
theme: Science and technology
theme: Reporting INSPIRE
theme: Federal Atom
theme: Mobility
theme: National
theme: Transport networks
theme: Railway Station Node
theme: Railway Electrification
theme: Railway Type
theme: Railway Link
theme: train
theme: federal government
theme: railway station
theme: rail transport
theme: railway network
theme: transportation
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))
publisher: National Geographic Institute
granularity: 10000
language: dut
language: fre
license: No limitations on public access
license: https://creativecommons.org/licenses/by/4.0/
distribution: INSPIRE Atom-
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: INSPIRE WMS
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.

Download Service (WFS) for Automatic weather station (AWS) observations
abstract: Download Service (WFS) for Automatic weather station (AWS) observations
keyword: WFS 1.0.0
keyword: WFS 1.1.0
keyword: WFS 2.0.0
keyword: Reporting INSPIRE
keyword: federal government
keyword: observation
keyword: air pressure
keyword: air temperature
keyword: relative humidity
keyword: precipitation
keyword: wind
theme: infoFeatureAccessService
theme: National
publisher: Royal Meteorological Institute of Belgium
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: OGC:WFS-1.0.0-http-get-capabilities-

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…

bmdc.be:dataset:2036
type: CatalogRecord
primary topic: bmdc.be:dataset:2036
conforms to: 32557.html
issued: 2026-01-29
modified: 2026-01-29

Population demographic characteristics dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 1 (D01C03, 2018 Reporting)
type: Dataset
abstract: This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 1, criterion 3. Occurrence of breeding seabirds describes the observation of eight seabird species (Common tern, Black-headed Gull, Herring Gull, Common Gull, Small Black-backed Gull, Yellow-legged gull, Big Stern and Little Stern) on the Belgian coast between 1992 and 2015.
keyword: Federal government
keyword: Reporting INSPIRE
keyword: Sea regions
theme: Sea regions
theme: Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use (Text with EEA relevance)
theme: Belgian part of the North Sea
theme: Greater North Sea, incl. the Kattegat and the English Channel
theme: animal population
theme: marine monitoring
theme: Marine Strategy Framework Directive
theme: Biological diversity maintained
theme: Directive 2008/56/EC
theme: Population and society
theme: National
theme: (Criteria) D1C3 - Population demographic characteristics
theme: oceans
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.24642 51.0941, 2.24642 51.83082, 3.36315 51.83082, 3.36315 51.0941, 2.24642 51.0941))
temporal: 2012-01-01 / 2016-12-31
issued: 2018-09-07
updated: 2021-12-08
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
publisher: Instituut voor Natuur- en Bosonderzoek / Research Institute for Nature and Forest (INBO)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: Data on breeding sea birds are gathered by INBO, and are presented to BMDC as excel files. The headers of the excel files are normalized and quality managed as Common-Layout files, and are awaiting import into IDOD.

https://publish.geo.be:/geonetwork/records/30896e82-9347-4f82-8871-f3a58ce2be58
type: CatalogRecord
conforms to: 32557.html
issued: 2026-01-29
modified: 2026-01-29

Potential seaport expansion zones in the Belgian Part of the North Sea
type: Dataset
abstract: The Royal Decree of 22 May 2019 establishing a marine spatial plan defines 2 potential seaport expansion zones: Potential harbour extension Oostende (Art. 12§2), Potential harbour extension Zeebrugge (Art. 12§3). It replaces the 2014 Marine Spatial Plan, which is included for completeness. The Royal Decree of 20 March 2014 establishing a marine spatial plan defines in its Art. 9. § 10, two zones (Art. 9 §10 zone 1, Ostend, Art. 9 §10 zone 2, Zeebrugge) for the potential extension of the sea ports of Ostend en Zeebrugge. These zones are made available digitally in the resource described by this metadata document. Please refer to the Belgian official gazette (\"Moniteur belge/Belgisch Staatsblad\") for official reference information.
keyword: Marine Spatial Plan
keyword: Reporting INSPIRE
keyword: Federal government
keyword: Land use
theme: Land use
theme: Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use (Text with EEA relevance)
theme: Belgian part of the North Sea
theme: Greater North Sea, incl. the Kattegat and the English Channel
theme: maritime transport
theme: development planning
theme: economic planning
theme: harbour
theme: environmental planning
theme: Land and natural area cover and use
theme: National
theme: Economy and finance
theme: economy
theme: oceans
theme: planningCadastre
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.292 51.0937, 2.292 51.527, 3.27217 51.527, 3.27217 51.0937, 2.292 51.0937))
temporal: 2014-01-01 /
issued: 2021-11-18
updated: 2021-11-22
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), GeoCell
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
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