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.
Annual and seasonal precipitation indices given in number of days: 1/ Wet days: Number of days with precipitation > 0.1 mm/day for winter, autumn, spring, summer; 2/ Dry days: Number of days with precipitation < 0.1 mm/day for winter, autumn, spring, summer; 3/ Average length of dry spells: Mean duration of minimum three consecutive days with precipitation < 0.1 mm/day; 4/ Maximum length of dry spells: Longest period of minimum three consecutive days with precipitation < 0.1 mm/day, occurring once in 20 years. The precipitation indices 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 respectively to 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.
Summer and winter mean wind speed given in m/s. The wind speed fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
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.
The earthquake catalogue and database of the Royal Observatory of Belgium contains source parameters of earthquakes that occurred in and around Belgium since 1350. Similar to most other seismic catalogues in the world, the ROB catalogue is heterogeneous, as it is based on the analysis of two different types of data: - Historical data: concern the period from about 1350 to 1910, for which only local reports about damage and felt effects (i.e. intensity) of earthquakes are available (“macroseismic” observations); - Instrumental data: concern the period from 1911 onward, the year continuous seismic recordings in Belgium started, up to the present day. For earthquakes during this period both intensity data (from macroseismic enquiries with the local authorities and, since 2000, on the internet) and seismic recordings are available. The earthquake catalogue is a list of earthquakes with the following parameters: origin time (year, month, day, hour, minute, second), geographic coordinates of the hypocenter (latitude, longitude, focal depth), magnitude (local magnitude ML, surface-wave magnitude Ms and/or moment magnitude Mw), maximum observed intensity, and the name of the locality. The ROB catalogue is considered to be complete: - Since 1350 for earthquakes with Mw>=5.0; - Since 1905 for earthquakes with Mw>=4.0 (seismic station in Uccle and neighboring countries); - Since 1960 for earthquakes with Mw>=3.0 (4 stations in Belgium); - Since 1985 for earthquakes with Mw>=2.0 (modern digital network consisting of 20+ stations).
Copyright has to be respected. You can find detailed information here: http://seismologie.oma.be/en/legal-notices/data-policy
Earthquake catalogue established by the Royal Observatory of Belgium. This catalogue is continuously updated based on instrumental data and ongoing historical and geological researches.
INSPIRE compliant discovery service for geographic information made available by the Belgian Federal Government.
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.
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.
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.
A climate normal is an average over a 30-years period. The period 1981-2010 is the current reference period recommended by the World Meteorological Organization (WMO). Recent climate normals are available for any locations in Belgium and several parameters including air temperature, precipitations and solar radiation. Climate normals for the reference period 1981-2010 are available for air temperature, precipitation and derived parameters (e.g., annual number of summer days, annual number of precipitation days, etc.). For solar radiation, the reference period had to be adjusted to 1984-2013 because of data availability. These climate normals are available as maps and as table for each Belgian municipality.
The climate statistics are derived from 30-years long observations timeseries in Belgium spatially interpolated on the Belgian territory.
Share of undeveloped cadastral aera - Wallonia
Share of the cadastral surface area that is not artificially developed in the cadastral and not unknown surface area to the administrative entity (region, province, district and municipality) for Wallonia
The land use and land cover data used by IWEPS for Wallonia are taken from the Belgian Cadastre (SPF Finance). A cadastral parcel includes the buildings, annexes, outbuildings, accesses and gardens that are contiguous to it, provided that the whole forms an indivisible whole and is assigned to the same use (SPF Finance, 2014). For each cadastral parcel, the surface area and the cadastral nature are available. The latter corresponds to the main use of the parcel at the time of its last cadastral registration (e.g. house, farm, business, etc.). In 2008, a land use nomenclature was developed on the basis of a joint reflection by the standing conference on territorial development, the SPW Environment and the IWEPS. The cadastral natures were grouped into 16 land use categories. These 16 categories can be grouped together to distinguish between artificial and non-artificial land. This grouping of parcels is based on the work of the European CORINE Land Cover (CLC) project in order to facilitate comparisons with other European regions. The land registry data are not exhaustive. In 2021, 5.2% of Wallonia's territory is not registered and/or of unknown nature. The unregistered areas are part of the public space (roads, squares, railways, rivers and canals, etc.). These areas of unknown nature are not homogeneously distributed over the Walloon territory. The proportion of unknown areas varies from 2% (larger or rural municipalities) to over 20% (Liège and Visé). The Sambre-et-Meuse region accounts for a large proportion of this area.
This dataset comprises historical orthophotos from the 1950s to 1959, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images is 50 cm. The mosaics were created using aerial photography campaigns dating from 1951, 1952 and 1954. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/
historical orthophotos, aerial photographs, 1950, 1951, 1952, 1954, panchromatic, black and white, 50 cm resolution
This dataset comprises historical orthophotos from the 2000s to 2009, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 25 to 100 cm. The mosaics were created using aerial photography campaigns dating from 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 and 2009. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/
historical orthophotos, aerial photographs, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, panchromatic, black and white, RGB, 10 cm resolution, 25 cm resolution, 50 cm resolution, 100 cm resolution
Royal Meteorological Institute of Belgium
Walloon Institute for Evaluation, Foresight and Statistics (IWEPS)