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.
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.
INSPIRE download service for the Marine Strategic Framework Directive-WFS
INSPIRE compliant download service (WFS) for geographic information of the datasets of the Marine Strategic Framework Directive made available by the Royal Belgian Institute for Natural Sciences (RBINS).
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.
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
Hail products are derived from the observed vertical profiles of radar reflectivity and the NWP vertical profiles of temperature. Three types of products are generated. poh : probability of hail of any size (larger than 0.5 cm diameter)expressed in %. posh : probability of severe hail(larger than 2cm)expressed in %. mesh : maximum expected size of hailexpressed in mm of hailstone diameter. All products are generated every 5 minutes. This product is not publically available yet.
Hail detection module is an implementation of two hail detection algorithms: of Witt and of Waldvogel (Waldvogelet al., 1979). The module takes radar observations and temperature information and estimates probability of hail (POH, %), probability of severe hail (POSH, %) and maximum expected size of hail (MESH, mm). The implementation of the Waldvogel algorithm is based on the Holleman's equation (I. Holleman, 2001), which was verified for Belgium by Delobbe et al. (2003). The POH is derived in the algorithm from the presence of a substantial updraft detected above the freezing level (0º-isoterm). The implementation of the Witt algorithm is based on the weighted integration of the reflectivity values between the heights of 0º-isoterm and -20º-isotherm (Witt et al., 1998). This algorithm provides POSH and MESH estimates.
Anthropogenic impulsive sound dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 11 (D11C01, 2018 Reporting)
This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 11, criterion 1. This dataset describes the impulsive noise generated during percussion pile emplacement for offshore wind farm construction and unexploded ordnance (UxO) explosions. Impulsive underwater sound (pressure) was measured during pile driving operations in Belgian waters, for different types of foundations (monopiles of different diameters, foundations of ducts with a smaller diameter) and hydraulic hammers with different energy powers. The results of measurements at Bligh Bank and Thornton Bank, with a resulting extrapolation of zero to peak noise level (Lz-p) at 750m and Sound Exposure Level (SEL) (no mitigation measures deployed), are presented (Norro et al., 2013).
(Criteria) D11C1 - Anthropogenic impulsive sound
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)
Greater North Sea, incl. the Kattegat and the English Channel
Introduction of energy does not adversely affect the marine environment
This dataset is published in: Norro, Alain Michel Jules, Bob Rumes, and Steven Johan Degraer. "Differentiating between underwater construction noise of monopile and jacket foundations for offshore windmills: a case study from the Belgian part of the North Sea." The Scientific World Journal 2013 (2013). The geographical coordinates have been converted from WGS84 to ETRS89. The data is then dynamically made available through WFS and statically converted to an INSPIRE-compliant GML file.
Coastal protection experiments zone in the Belgian Part of the North Sea
The Royal Decree of 22 May 2019 establishing a marine spatial plan defines 1 coastal protection experiments zone: Zone for coastal protection experiments (Art. 16§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. 12. §1 one zone for coastal protection experiments. This zone is 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.
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.
INSPIRE download service for the Marine Spatial Plan-ATOM
INSPIRE compliant download service (ATOM) for geographic information of the Marine Spatial Plan made available by the Royal Belgian Institute for Natural Sciences (RBINS).
Summer and winter maximum daily precipitation given in mm/day that occur once in a year and once in 5, 10, 15 and 30 years (i.e. return periods of 1 year and 5, 10, 15, 30 years). The precipitation 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
•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.
Significant acute pollution events dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 8 (D08C03, 2018 Reporting)
This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 3. This dataset gives an overview of the observed slicks during aerial survey operations of the Belgian part of the North Sea (2011-2016). Related to significant acute pollution, it includes the observations linked to the Flinterstar incident in 2015. Besides this, all observations of illegal discharges of MARPOL (International Convention for the Prevention of Pollution from Ships) annex I and II substances are included as an additional dataset.
(Criteria) D8C3 - Significant acute pollution events
Contaminants do not produce pollution effects
Data on the occurrence and extent of significant acute pollution and illegal discharges are gathered by aerial surveillance by RBINS-SURV and presented to BMDC as excel files. These files are made available via this metadata record without any change.
FPS Finance - General Administration of Patrimonial Documentation (GAPD)
Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell
Royal Meteorological Institute of Belgium
Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Management Unit of the North Sea Mathematical Models (MUMM)
Royal Belgian Institute of Natural Sciences (RBINS)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Marine Ecology and Management (MARECO)
Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
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), Ecosystems data processing and modelling (ECODAM)