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.
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.
View Service (WMS) for Synoptic observations
INSPIRE View service - Electricity network
This web service allows viewing/downloading datasets from Electricity network
View service for dataset CORINE Local Components
CORINE Local Components is an INSPIRE compliant WMS service showing 4 "Local component products" covering the Belgian territory within the framework of a Pan-European coverage. The 4 layers cover 4 different products: Urban Atlas 2012, Urban Atlas 2012 Street Tree Layer, Riparian Zones and Natura2000.
View Service (WMS) for Networks of automatic lidar-ceilometer systems
View Service (WMS) for Networks of automatic lidar-ceilometer systems The data are updated each 10 minutes. Only the archives of the last 30 days are available.
View Service (WMS) for Alaro over Belgium
View Service (WMS) for Alaro over Belgium. All the parameters of the last run of Alaro can be visualized, most of them associated with a custom style.
Deze web-service verzekert de visualisatie van de gegevens van de FOD Economie, conform aan de specificaties van INSPIRE. De datasets waarvan de structuur conform de specificaties van INSPIRE zijn, zijn opgenomen.
Administrative, statistical and cadastral units
• The abovementioned authentic source of the data holds the rights of property (including the rights of intellectual property) to the geographic files •The source grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Source's name must be mentioned each time the data are being used publically.
User reports from the RMI smartphone app
Since August 2019, users of the RMI smartphone app are able to send an observation of the meteorological conditions at a certain place and a certain time. The observations provide information about the weather conditions and potentially severe weather to the other users and to RMI. The collection of citizen weather reports is a valuable complement to the information obtained with the classical instruments like stations, radar and satellite. The data can be exploited for nowcasting, warnings and model verification, and eventually in assimilation. A general introduction of the data and their characteristics can be found in Reyniers et al. (2023). A basic quality control is implemented on the received observations via a plausibility check. This plausibility check determines whether an observation is plausible, suspicious or false, by comparing it to the INCA-BE nowcasting system using a simple thresholding scheme. INCA-BE is RMI's operational nowcasting system described in Reyniers et al. (2021). There is no strict spatial extent since there is no restriction at the input side: users can send observations from all over the globe. The bulk of the observations are received from within Belgium. Note that the plausibility check is not available for reports from outside Belgium.
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
A basic quality control is implemented in the form of a plausibility check. Possible outcomes of this plausibility check for the validity of an observation are: 'possible', 'suspicious' or 'false'. This assessment is made immediately after the reception of the observation by comparing it to the latest INCA-BE output. There is no offline revision of this plausibility at a later time.
This dataset contains the administrative units for the organisation of elections, within their boundaries as established by Annex I of the Electoral Code.
The boundaries of the electoral cantons were digitised by the National Geographical Institute in accordance with the definition in Annex I of the Electoral Code. For this purpose, NGI used the authentic administrative data of the FPS Finance.
The entities included in dataset represent the Belgian waterway transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The class represents, in a linear manner, all of the waterway links between each pair of dots for the network considered. In addition to this is one class without geometry. The RestrictionForWaterCehicles class specifies for each segment the maximum tonnage of the building using the segment.
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.
Royal Meteorological Institute of Belgium
FPS Economy, SMEs, Self-Employed and Energy, Statistics Belgium