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.
Share of the cadastral land take - Wallonia
Share of the cadastral surface area that is artificially developed in the cadastral surface area and not unknown to the administrative entity (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.
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.
Networks of automatic lidar-ceilometer systems
The ceilometer CL51 employs a pulsed diode laser LIDAR technology, where short, powerful laser pulses are sent out in a vertical or near-vertical direction. The reflection of light (backscatter) caused by clouds, precipitation or other obscuration is analysed and used to determine the cloud base height, the cloud layer height and the amount of clouds (in octas) in different layers.
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.
The cloud base height, the cloud layer height and the amount of clouds in different layers are computed by the Vaisala CL51 algorithm based on raw backscatter data (time resolution: 6 s and vertical resolution: 10 m). The sky condition algorithm is calculated every five minutes based on data collected during the last 30 minutes. The last 10 minutes are double-weighted to make the algorithm more responsive to variations in cloudiness. The algorithm uses cloud base height and timing information to find cloud base height close each other. These cloud base height are combined into clusters and a height value is calculated for each cluster. This height gives the base height of a cloud layer represented by the cluster. The algorithm reports layers by combining clusters whose heights are close to each other and then selecting clusters that cover the greatest amount of sky.
Buyers' origin - Legal persons corresponds to the dataset describing the origin of the buyers (legal persons) of real estate located in Belgium according to the municipality of their headquarters for legal persons settled in Belgium and according to the country or territory of their headquarters for foreign legal persons (headquarter at the date of the deed). This dataset is made up of seven classes. The first class shows, at national level, for each type of property, the total number of parcels, the number of parcels acquired by buyers from each Belgian municipality and the number of parcels acquired by buyers from each country or territory. The number of parcels takes into account the shares actually acquired. The second class shows this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, land register divisions and statistical sectors. The dataset is freely downloadable, in the form of zipped CSV files.
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).
Buyers' origin - Legal persons is compiled from the contents of the reference database for the record of real estate deeds. The database records for each deed, the real right concerned, the identification of the parties and the situation of the real estate property concerned as well as its land register nature. The second database contains various items of information for each legal person from the Crossroads Bank for Enterprises, the authentic source for legal persons.
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.
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.
INSPIRE View service - Electricity network
This web service allows viewing/downloading datasets from Electricity network
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.
View Service (WMS) for Synoptic observations
View Service (WMS) for 'User reports from the RMI smartphone app'
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. Scientific publications should refer to https://doi.org/10.5194/ecss2023-50
Characteristics of cadastral parcels - Rights of legal persons
Characteristics of the cadastral parcels - Rights of legal persons 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 the number of parcels on which legal persons from the concerned NACE code hold the concerned real rights. 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 legal persons 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.
Walloon Institute for Evaluation, Foresight and Statistics
Royal Meteorological Institute of Belgium
FPS Finance - General Administration of Patrimonial Documentation (GAPD)