Type
 

dataset

173 record(s)
 
Type of resources
Available actions
Topics
INSPIRE themes
federalThemes
Keywords
Contact for the resource
Provided by
Years
Formats
Representation types
Update frequencies
status
Scale
Resolution
From 1 - 10 / 173
  • An hillshade is a homogeneous and regular points grid, indicating the grey tone deriving from their orientation relative to the chosen fictitious light source. The Hillshade DTM 1m is a representation of the hillshading of the DTM 1m.

  • Points Of Interest - Economy interest contains point elements indicating the location of an economic activity, such as a brewery, wholesale market, (commercial, industrial) building, cooling tower, gas processing/disposal, slagheap, telecommunications, wind turbine, solar panel park in Belgium.

  • An hillshade is a homogeneous and regular points grid, indicating the grey tone deriving from their orientation relative to the chosen fictitious light source. The Hillshade DTM 5m is a representation of the hillshading of the DTM 5m.

  • The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2018. The dataset is INSPIRE compliant.

  • The entities included in the dataset represent the Belgian road transport network in the sense of the Inspire European directive. The dataset comprises several classes. The RoadLink class represents, in a linear manner, all of the road links between each pair of dots for the network considered. The footpaths, cycle paths or carriageways that connect the pairs of dots correspond to as many entities in the class. The RoadServiceArea class represents the sections of space devoted to auxiliary road transport functions, such as service stations or rest areas. In addition to this are two classes without geometry. RoadWidth class describes in metres the width of each segment of the "road links" class. The "functional importance" class ranks the segments of the "road links" class by functional importance on the road transport network.

  • The DTM 5m, digital terrain model at 5m-resolution, is a homogeneous and regular point grid indicating the height of the ground level in order to model its surface, without taking into account objects on the surface such as buildings and vegetation. The DTM 5m is the result of the assembly of different data coming from various sources and with different coordinate systems and resolutions. The DTM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish (2013-2015) and Brussels (2021) regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region (2021-2022). The DTM 5m is obtained by resampling of the DTM 1m. In addition, the DTM 5m is improved and updated internally using direct photogrammetric surveys based on the most recent aerial photographs.

  • Mean key indicators on future climate for Belgium for precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration (spatial distributions are available through the WMS view service). The key indicators are derived from a multi-model ensemble of climate change signals or factors for a mean and high impact scenario (corresponding to respectively the 50th, and 5th or 95th percentile of the change factors), and for multiple future target years (2030, 2050, 2085, 2100).

  • Summer and winter mean relative humidity given in %. The relative humidity fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

  • Network of marks whose planimetric coordinates are known with precision according to the reference systems which are used in Belgium.

  • Cadastral parcels - monthly situation corresponds to the dataset of the monthly situation of the cadastral parcels layer from the Land Register plan. The dataset is composed of two classes. The first class contains the geometries of the cadastral parcels; the second is a class without geometry and corresponds to a code table of the different fiscal situations used in the first class. The dataset can be freely downloaded as a zipped shapefiles.