geo.be Metadata Catalog
geo.be Metadata Catalog (National Geographic Institute)
https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download?ref=external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope (2)
Continents, countries, sea regions of the world.
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.
•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.
Statistical sectors in Belgium (INSPIRE version)
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.
Administrative, statistical and cadastral units
An open data license is available in French an Dutch See https://statbel.fgov.be/en/open-data
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 be digitized. The 2001 version is built from a general version (1:10,000) of the administrative borders provided by the National Geographic Institute (NGI), while the following versions are based on more precise versions provided by the General Administration of the Patrimonial Documentation.
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.
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.
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.
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.
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.
Occupation and planning of sea and land areas
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)
CORINE High Resolution Layers-Belgium 2015
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.
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.
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.
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.
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.
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
Population distribution per statistical sector - Belgium
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.
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.
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.
The INSPIRE data set is generated from the data source Contour Line https://www.geo.be/catalog/details/94e0a300-7ae5-11e9-91a5-482ae30f98d9?l=en
FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium