Date (Creation)

2021-10-09

Date (Revision)

2021-10-09

Identifier

CIRB-CIBG / 8c2e7c80-6a53-11ed-b76c-010101010000

Status

Completed

Maintenance and update frequency

Irregular

EUROVOC - Concept themes

• remote sensing

Thèmes GEMET

• regional authority
• remote sensing

Data.gov.be themes

• Environment

GEMET - INSPIRE themes, version 1.0

• Elevation

Spatial scope

• Regional

INSPIRE feature concept dictionary

• Elevation Grid Coverage

Access constraints

Other restrictions

Other constraints

No limitations to public access

Use constraints

Other restrictions

Other constraints

Creative Commons (CC-0) - no conditions for reuse, the data is in the public domain. The full license is available here: https://creativecommons.org/publicdomain/zero/1.0/legalcode

Spatial representation type

Grid

Distance

0.25  m

Metadata language

English

Metadata language

Nederlands; Vlaams

Metadata language

Français

Character set

UTF8

Topic category

• Elevation

Description

Brussels-Capital Region

Unique resource identifier

EPSG:31370

Unique resource identifier

EPSG:3812

Distribution format

• TIFF ()

OnLine resource

https://geoservices-urbis.irisnet.be/geoserver/urbisgrid/ows?request=GetCapabilities&service=WMS&version=1.3.0 ( OGC:WMS )

OnLine resource

• Tiled view service - UrbIS

OnLine resource

https://datastore.brussels/web/urbis-download ( WWW:DOWNLOAD-1.0-http--download )

OnLine resource

https://urbisdownload.datastore.brussels/atomfeed/8c2d921e-6a53-11ed-bfb5-010101010000-en.xml ( ATOM )

Hierarchy level

Dataset

Statement

The LiDAR data collection flight from which this product is derived was conducted in the Brussels-Capital Region on 9 October 2021 on a North-South axis. The images were taken using a RIEGL VQ-1560 II LiDAR sensor. The average axis density for the flight is 67pt/m2.

The Digital Surface Model is obtained in two stages. Firstly, an automatic classification process is applied to the LiDAR point cloud. Secondly, a spatial interpolation technique is used to derive a raster image from the points that have been classified.

File identifier

8c2d921e-6a53-11ed-bfb5-010101010000 XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2024-03-14T08:28:11

Metadata standard name

Brussels INSPIRE metadata profil