geo.be Metadata Catalog
geo.be Metadata Catalog (National Geographic Institute)
Continents, countries, sea regions of the world.
National wastewater-based epidemiological surveillance – Catchment areas
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.
Wastewater, Epidemiological surveillance, Epidemiology, Infectious diseases, Illicit drugs
Environmental Health Determinant Measure
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.
National wastewater-based epidemiological surveillance of respiratory syncytial virus (RSV)
The national wastewater-based epidemiological surveillance of respiratory syncytial virus (RSV) monitors the RSV presence in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in January 2024. The results consist of the RSV concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.
Wastewater, Epidemiological surveillance, Epidemiology, Infectious diseases, RSV, Respiratory syncytial virus
The surveillance started in January 2024 for the whole country. Samples are collected every week at each selected wastewater treatment plant (WWTP) using 24-hour volume proportional or time proportional auto-samplers. Samples are stored at 4°C and analyzed within 24 hours. The samples from the Walloon region and Brussels-Capital Region and the provinces of West-Vlanderen, Oost-Vlanderen and Vlaams-Brabant are analyzed by the Foodborne pathogens unit of Sciensano while samples from the provinces of Antwerpen and Limburg are analyzed by the Microbiology, Parasitology and Hygiene Laboratory of the University of Antwerp. The two laboratories use a harmonized protocol. After concentration and RNA extraction, the samples are analyzed by RT-dPCR. Two gene sequences one specific to RSV subgroup A and one to subgroup B are analyzed. These sequences target the N gene encoding for the nucleoprotein. The quality of the results is checked and validated at the laboratory level. If the quality is insufficient, additional analyzes are performed. Once received by the data manager, the laboratory results undergo a second validation before being integrated in the database. The 24 hours-representative flow rates of each WWTP are collected using flowmeters and are provided by the wastewater agencies (Hydria and Aquiris for the WWTPs of Brussels, Société Publique de Gestion de l'Eau (SPGE) for the WWTPs of Wallonia and Aquafin for the WWTPs of Flanders). Domestic inhabitant equivalents (IE) are used to estimate the population coverage of each WWTP. IE are based on several data sources (population data, building type data, connection to the network and WWTPs geographical coverage data). IE are provided by SPGE in Wallonia and by the Vlaamse Milieumaatschappij (VMM) in Flanders. In Brussels the population is estimated based on the data provided by Statbel. The data provided by the wastewater agencies and VMM are validated by the data manager before being integrated in the database.
Total number of private households - Wallonia
The number of private households according to official statistics, per administrative unit (region, province, district and municipality) for Wallonia.
•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.
Definitions: In general, a household, in the statistical sense of the term, refers to all the occupants of the same dwelling, without these persons necessarily being linked by family ties (in the case of cohabitation, for example). A household may consist of only one person. Statistics: Household information is extracted by Statbel from two separate data sets. The first dataset contains the reference persons of the households. The second dataset contains the relationships of the household members to the reference person. From this dataset, Statbel also retrieves information on whether the household is a private or collective household. The datasets presented here are for private households only.
‘Top10Vector – Land cover and Vegetation’ is the vector dataset of the land use categories of undeveloped land areas in Belgium. This dataset comprises 3 feature types, namely isolated [LC_isolatedvegetation] and linear [LC_linearvegetation] vegetation and land cover zones [LC_landcoverzone]. This dataset can be downloaded via the links in ‘Access’ at the bottom of this page.
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.
Notifications of the cadastral income corresponds to the dataset describing the new cadastral incomes of property located in Belgium that has been notified to the taxpayer. This dataset is made up of seven classes. The first class includes, at national level, by fiscal status, by nature of cadastral income and by category of motivations, the number of cadastral incomes notified, the total amount of cadastral incomes notified, the median cadastral income notified, the 25th and 75th percentiles of cadastral incomes notified and the standard deviation of cadastral incomes notified. 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.
Administrative, statistical and cadastral units
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).
Notifications of the cadastral income is compiled from the contents of the reference database for the land register data. It records, for each parcel its cadastral income (i.e. the annual net rental value of the property on January 1st 1975, the reference year for property tax purposes) and the various related information. The cadastral income is determined on the basis of taxpayers' declarations or after a possible control carried out by the FPS Finance.
CORINE High Resolution Layers - Belgium 2012
The product is made of 6 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage. The 6 layers concern 6 distinct themes: Imperviousness, Tree cover density, Forest type, Permanent grasslands, Wetlands and Permanent waterbodies. The 6 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 and enhanced by Belgium. At the Belgian level, verification and enhancements were made by AGIV for the northern part and SPW for the southern part. The NGI coordinated the project.
The layer was completed by the automatic classification achieved by an EEA service provider. Belgium achieved a classification verification and enhanced the layer on the basis of their own thematic data and aerial photographs.
Annual temperature extremes given in number of days: 1/ Total number of heatwaves occurring once in 20 years; 2/ Maximum length of the heatwaves occurring once in 20 years; 3/ Hot days: Mean annual number of days with maximum temperature > 25°C; 4/ Tropical days: Mean annual number of days with maximum temperature > 30°C; 5/ Frost days: Mean annual number of days with minimum temperature < 0°C. Heatwaves are defined according to the Royal Meteorological Institute of Belgium when the maximum temperature in Uccle is >= 25°C during at least 5 consecutive days, during which at least 3 days the maximum temperature is >= 30°C. The temperature extremes are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
climate projections,Belgium,Representative Concentration Pathway,high resolution
Meteorology, weather and radiation conditions
In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.
'Top10Vector – Constructions' is the vector dataset of constructions in Belgium. The dataset consists of 7 feature types, including those for buildings [CO_constructions] and those for bridges and tunnels [CO_brunnel]. The geometry of buildings can be supplemented with additional point [CO_toweronbuilding] or surface elements [CO_additionalpolygongeometry], which indicate the position of towers or other structures on buildings. Other structures are polygon [CO_particularpolyconstruction], linear [CO_particularlineconstruction] or point [CO_particularpointconstruction] feature types. The dataset can be downloaded via the links in 'Access' at the bottom of this page.
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.
National wastewater-based epidemiological surveillance - Human faecal marker PMMoV (Tobamovirus capsici)
The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. The PMMoV virus is an indicator of human faecal contamination used to estimate the population load in wastewater samples. The results of this dataset consist of PMMoV concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.
Wastewater, Epidemiological surveillance, Epidemiology, Infectious diseases, PMMoV, Human faecal marker
Samples are collected every week at each selected wastewater treatment plant (WWTP) using 24-hour volume proportional or time proportional auto-samplers. Samples are stored at 4°C and analyzed within 24 hours. The samples from Wallonia were analyzed by E-BIOM until December 2023, after which the Foodborne Pathogens Unit of Sciensano took over the analyses. Samples from the Brussels-Capital Region and the provinces of West-Vlanderen, Oost-Vlanderen and Vlaams-Brabant are analyzed by the Foodborne pathogens unit of Sciensano while samples from the provinces of Antwerpen and Limburg are analyzed by the Microbiology, Parasitology and Hygiene Laboratory of the University of Antwerp. PMMoV is measured since mid-February 2021. The three laboratories use a harmonized protocol. After concentration and RNA extraction, the samples were analyzed by RT-qPCR until June 2023 and later on by RT-dPCR. One target sequence is analyzed. Until June 2023, analyses were performed in duplicates (in triplicates until mid-September 2022 in Wallonia, then in duplicates) but since June 2023, each analysis is conducted only once. There is no result in Wallonia for the period from January to August 2023. The quality of the results is checked and validated at the laboratory level. If the quality is insufficient, additional analyzes are performed. Once received by the data manager, the laboratory results undergo a second validation before being integrated in the database. The 24 hours-representative flow rates of each WWTP are collected using flowmeters and are provided by the wastewater agencies (Hydria and Aquiris for the WWTPs of Brussels, Société Publique de Gestion de l'Eau (SPGE) for the WWTPs of Wallonia and Aquafin for the WWTPs of Flanders). Domestic inhabitant equivalents (IE) are used to estimate the population coverage of each WWTP. IE are based on several data sources (population data, building type data, connection to the network and WWTPs geographical coverage data). IE are provided by SPGE in Wallonia and by the Vlaamse Milieumaatschappij (VMM) in Flanders. In Brussels the population is estimated based on the data provided by Statbel. The data provided by the wastewater agencies and VMM are validated by the data manager before being integrated in the database.
The DSM 1m, digital surface model at 1m-resolution, is a homogeneous and regular point grid indicating the height of the Earth’s surface level in order to model its landscape, also including objects on the surface such as vegetation and buildings. The DSM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish (2013-2015) and Brussels (2021) Regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region (2021-2022).
The product DSM 1m indicates the height of the surface of the Earth, i.e. the ground or any other permanent and visible landscape element (vegetation, construction, …) compared to the Belgian zero level (fictitious zero-D of Uccle). In other words, it is the orthometric height, commonly known as height. The source data used to produce this DSM are the DSM at a 1m-resolution from the regions: data from Digitaal Vlaanderen (former AIV and former AGIV) for the Flemish Region, data from the SPW for the Walloon Region and data from Paradigm for the Region of Brussels-Capital. These regional DSM are derived from the clouds of points obtained during the LiDAR campaign (flight of 9 October 2021 for Brussels, from 19 February 2021 to 5 March 2022 for Wallonia and from 20 February 2013 to 20 April 2015 for Flanders). These source data are gathered and processed in order to obtain a homogeneous and regular grid with every meter a point in X and Y indicating the height of the surface level of the Earth. As the Flemish and Brussels regional bodies deliver their products in Lambert 72, the NGI reprojected those in Lambert 2008 and achieved an interpolation in order to obtain a product with round coordinates, and then gathered them with the product of the Walloon Region (already in Lambert 2008) so that the newly created DSM 1m-product covers the whole Belgian territory. LiDAR data coming from regions do not stop at borders, the coverage of the data extends beyond the limits of Belgium and offers a buffer of variable size all around Belgium.
Walloon Institute for Evaluation, Foresight and Statistics (IWEPS)
FPS Finance - General Administration of Patrimonial Documentation (GAPD)