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.
Beach Litter collected in 2023-2024 by citizen science association the Proper Strand Lopers
Beach Litter count data collected across 10 beaches of the Belgian coast in 2023 and 2024 by volunteers of the citizen science association Proper Strand Lopers. One of the key indicators of abundance, composition and trends of litter in the marine environment is the amount on beaches. OSPAR monitors litter on 100m stretches at over 70 beaches in the North-East Atlantic following common monitoring guidelines. The monitoring records litter in 112 predefined litter items in 11 types: Plastic / polystyrene, Metal, Paper and cardboard, Wood, Sanitary waste, Cloth, Rubber, Glass, Pottery/ceramics, Medical waste and Faeces.
Volunteers clean a defined area of 100 metres in 10 beach municipalities on the Belgian coast four times a year, and meticulously record what has been cleared. Macrolitter items are identified based on the Joint List of Litter Categories for Marine Macrolitter Monitoring.
Download Service (WFS) for Networks of automatic lidar-ceilometer systems
Download Service (WFS) for Networks of automatic lidar-ceilometer systems The data are updated each 10 minutes. Only the archives of the last 30 days are available.
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.
Download Service (WFS) for Automatic weather station (AWS) observations
View service - Climate indicators for Belgium
Climate indicators for a present (1975) and future (2085) target year under a mean and high impact scenario (view and download service with raster files). The climate indicators for Belgium were obtained by a statistical downscaling based on the high-resolution Belgian climate model projections, as well as on a large set of both Global Climate Model runs (CMIP5) and Regional Climate Model runs for Europe (EURO-CORDEX).
climate projections,Belgium,Representative Concentration Pathway,high resolution
Meteorology, weather and radiation 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.
INSPIRE download service for the IDOD database-WFS
INSPIRE compliant download service for geographic information of marine datasets made available by the Royal Belgian Institute for Natural Sciences (RBINS) in the IDOD (Integrated and Dynamical Oceanographic Database) database.
Characteristics of cadastral parcels - Rights of real estate companies
Characteristics of the cadastral parcels - Rights of real estate companies corresponds to the dataset describing the legal persons holding real rights on the parcels such as recorded by the FPS Finance for registration purposes. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and for each type of real right, the number of parcels, their total cadastral income, as well as for each category of economic activity, the number of parcels on which real estate companies hold the concerned real rights (i.e. the companies of L class from NACE classification). The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.
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).
Characteristics of cadastral parcels - Rights of real estate companies is compiled from the contents of the reference database for the land register data as well as from the contents of the database of real rights holders. The first database records, for each parcel, its type, its cadastral income (i.e. the annual net rental value of the property on January 1st 1975, the reference year for property tax purposes), the real rights holders as well as the type of right they are holding. These variables are determined, after investigation, by the agents of the FPS Finance at the time of the creation of the parcel, after a significant modification of the parcel or after a possible control carried out by the FPS Finance, in particular following the registration of a real right. The registration of a real right necessarily changes the last two aforementioned variables. The second database contains, for each holder of real rights, various pieces of information from the Crossroads Bank for Enterprises, which is the authentic source for legal persons, including the nature of their economic activities.
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.
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.
Top10Vector – Railway network is the dataset of the railway network in Belgium. This data set includes three classes. First class: rail network kilometer markers. Second class: railway stop. Third class: railway track segments. This dataset can be downloaded via the hyperlink in 'Access'.
Disused telecommunication lines as built in the Belgian Part of the North Sea
This dataset represents the exact location of disused telecommunication cables installed in the Belgian Part of the North Sea.
Greater North Sea, incl. the Kattegat and the English Channel
This dataset represents the location of each disused telecommunications, as known from the charts, laid down in the Belgian Part of the North Sea and has not been modified or altered.
Cadastral parcels - monthly situation corresponds to the dataset of the monthly situation of the cadastral parcels layer from the Land Register plan. The dataset is composed of two classes. The first class contains the geometries of the cadastral parcels; the second is a class without geometry and corresponds to a code table of the different fiscal situations used in the first class. The dataset can be freely downloaded as a zipped shapefiles.
Administrative, statistical and cadastral units
Cadastral parcels - monthly situation is created by a monthly extraction of the current situation of the Land Register plan limited to the Bpn_CaPa entity which is the layer of the cadastral parcels
https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User guide geo.be.pdf
Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
Royal Belgian Institute of Natural Sciences (RBINS)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
Federal Public Service Health, Food chain safety and Environment - DG Environment, Marine Environment Service
Royal Meteorological Institute of Belgium
Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell
FPS Finance - General Administration of Patrimonial Documentation (GAPD)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), GeoCell
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)