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.
Bird density profiles derived from weather radar measurements
Bird density profiles are derived from weather radar volume data in real time, by the vol2bird algorithm as described in Dokter et al. (2011, 2019). The vol2bird algorithm exploits the radar reflectivity characteristics of different scatterers in the atmosphere, in order to distinguish biological from non-biological radar echoes. Once biological scatterers are isolated in the volume files, the reflectivity of these scatterers is converted in an estimate of the bird density per vertical layer of 200m, using a mean cross section of 11 cm2. The vbird profiles are provided for the following radars, with the radar owner in parentheses: Jabbeke (RMI), Wideumont (RMI), Helchteren (VMM), Zaventem (Skeyes), Herwijnen (KNMI), Den Helder (KNMI), Neuheilenbach (DWD), Essen (DWD), Abbeville (Météo-France) and Avesnois (Météo-France). References: - Dokter A.M., Liechti F., Stark H., Delobbe L., Tabary P., Holleman I., Bird migration flight altitudes studied by a network of operational weather radars, J. R. Soc. Interface, 8, 30–43, 2011, DOI 10.1098/rsif.2010.0116 - Dokter A.M., Desmet P., Spaaks J.H., van Hoey S., Veen L., Verlinden L., Nilsson C., Haase G., Leijnse H., Farnsworth A., Bouten W., Shamoun-Baranes J., bioRad: biological analysis and visualization of weather radar data, Ecography, 42, 852-860, 2019, DOI 10.1111/ecog.04028
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.
Bird density profiles are generated for every individual radar volume scan, and hence inherit the time resolution from the originating radar scan cycle. All radars used in this data repository operate in a five minute scan cycle. The produced output file is a plain text file, and contains a concatenation of subsequent vertical profile outputs (vpts = vertical profile time series). It contains the following columns: - date: Date (UTC) - time: Time (UTC) - HGHT: Height bin (lower bound) in m above ground level. - u: Speed component west to east in m/s. - v: Speed component north to south in m/s. - w: Vertical speed (unreliable!) in m/s. - ff: Horizontal speed in m/s. - dd: Direction in degrees clockwise from north. - sd_vvp: VVP radial velocity standard deviation in m/s. - gap: Angular data gap detected in T/F. - dbz: Animal reflectivity factor in dBZ. - eta: Animal reflectivity in cm2/km3. - dens: Animal density in animals/km3. - DBZH: Total reflectivity factor (bio + meteo scattering) in dBZ. - n: Number of data points used for the ground speed estimates (quantities u, v, w, ff, dd). - n_all: Number of data points used for the radial velocity standard deviation estimate (quantity sd_vvp). - n_dbz: Number of data points used for reflectivity-based estimates (quantities dbz, eta, dens). - n_dbz_all: Number of data points used for the total reflectivity estimate (quantity DBZH). The bird density profiles are provided as is, without any manual or automatic quality control.
DSM 1m is a homogeneous and regular point grid indicating the height of the Earth’s surface level in order to model its landscape. DSM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish and Brussels Regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region.
The 1m DSM is obtained by interpolation in Lambert 2008 of the raw height data regrouping the source data, in Lambert 72 and at 1m resolution, of the Flemish and Walloon regions. The source data used for the production of this DSM are the DSM at 1m resolution of the regions: those of the AIV (ex-AGIV), for the Flemish region and those of the SPW, for the Walloon region. These source data are collected and processed to obtain a homogeneous and regular grid with a point every 1m in X and Y indicating the height of the land surface. The two regional organisations providing their product in Lambert 72, the IGN reprojected the data into Lambert 2008 and carried out an interpolation in order to obtain a product with round coordinates and then assembled them so that the DSM 1m product thus created covers the entire Belgian territory"The product called “DSM1meter”, in short 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. During the creation of DSM 1m, the highest priority is to get a complete coverage. This priority is an important requirement for internal applications oof the NGI and for most external customers. Besides, the availability of DSM 1m as a standard product (point grid every 1m in XY) in a generic format (gdb raster file) that can be used by all the software packages is a remarkable asset for internal and external applications.
From multiple observations during the day with UV spectrophotometers a daily value of the ozone column is calculated. This product is not publically available yet.
Every two year the spectrophotometers are calibrated by an external company. This is done through side-by-side comparative measurements with an international reference instrument. The stability between these calibration campaigns is traced on a day by day basis by internal lamps.
National wastewater-based epidemiological surveillance (ATOM)
The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. This webservice contains the results per treatment plant since the beginning of the surveillance in September 2020. The results consist of 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, Illicit drugs
This web service provides a download per object of the Administrative Units -INSPIRE dataset. This webservice complies with the INSPIRE specifications.
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).
Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding to respectively the 50th, and 5th or 95th percentiles of the change factors.
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.
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.
6c467faa-a594-4142-abf2-d16aab3f255c https://geo.irceline.be/csw/srv/api/records/6c467faa-a594-4142-abf2-d16aab3f255c/formatters/xml
Download service of air quality data from Belgium - WFS
INSPIRE compliant download service for geographic information made available by the Belgian Interregional Environment Agency (IRCEL - CELINE).
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.
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.
Total number of private households - Flanders and Brussels Capital Region
The number of private households according to official statistics, per administrative unit (region, province, arrondissement and municipalitiy) for Flanders and the Brussels Capital Region
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.
This AtomFeed download service provides access to datasets of GAPD that are not reported under the INSPIRE Directive. The datasets can be accessible for free or under conditions.
Royal Meteorological Institute of Belgium
FPS Finance - General Administration of Patrimonial Documentation (GAPD)
Belgian Interregional Environment Agency (IRCEL - CELINE)
Province of Antwerp Province of West Flanders Province of East Flanders province of Flemisch Brabant Province of Limburg