Open Data Initiatives: Difference between revisions
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imported>Thomas Kolbe m (updated information on the new NYC dataset) |
imported>Filip Biljecki No edit summary |
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You might also be interested in [http://www.citygml.org/?id=1539 sample CityGML data] available on the CityGML website, and in [https://3d.bk.tudelft.nl/biljecki/Random3Dcity.html procedurally generated CityGML models]. |
You might also be interested in [http://www.citygml.org/?id=1539 sample CityGML data] available on the CityGML website, and in [https://3d.bk.tudelft.nl/biljecki/Random3Dcity.html procedurally generated CityGML models]. |
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The quality of most of these dataset has been evaluated in [http://doi.org/10.5194/isprs-annals-IV-2-W1-13-2016 a paper published in the proceedings of the 3D GeoInfo 2016 conference]. |
Revision as of 11:25, 6 October 2016
Open Data Initiatives
Dataset | Country | Level of detail | CityGML ver. | Year | Acquisition technique | Other thematic classes | Textures | Notes |
---|---|---|---|---|---|---|---|---|
Berlin | Germany | LOD2 | 2.0 | 2013 | ? | Terrain | Yes | Released in 2015 |
Brussels | Belgium | LOD2 | 1.0 | 2014 | Building | No | EPSG:31370 | |
Hamburg | Germany | LOD1 and LOD2 | 1.0 | 2015 | Cadastre footprints + LiDAR | |||
Linz | Austria | LOD2 | 1.0 | 2011 | ? | No | ||
Lyon | France | LOD2 | 2.0 | 2012 | Terrain, water | |||
Montréal | Canada | LOD2 | 1.0 | 2009 | Photogrammetry | Yes | ||
New York City by TUM | United States | LOD1 | 2.0 | 2015 | Photogrammetry in combination with existing public 2(.5)D datasets | Roads, lots, parks, water, terrain | No | Very rich in attributes |
New York City by DoITT | United States | LOD2 (buildings are modeled with thematic surfaces in LOD2, however, for most buildings the geometric shape is LOD1) | 2.0 | 2016 | Cadastre footprints + LiDAR | No | ||
Rotterdam | Netherlands | LOD2 | 1.0 | 2010 | Cadastre footprints + LiDAR | Yes | ||
The Hague | Netherlands | LOD2 | 1.0 | 2011 | Terrain | No | It contains terrain intersection curves |
If you are aware of open datasets which are not listed above please contact Filip Biljecki (TU Delft) or Karl-Heinz Häfele (KIT).
You might also be interested in sample CityGML data available on the CityGML website, and in procedurally generated CityGML models.
The quality of most of these dataset has been evaluated in a paper published in the proceedings of the 3D GeoInfo 2016 conference.