Difference between revisions of "Open Data Initiatives"

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<table cellspacing="4" cellpadding="2">
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<td>[[Open Data Initiatives in Austria|Austria]]</td>
<th>Dataset</th>
 
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</tr>
<th>Country</th>
 
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<th>Level of detail</th>
 
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<tr>
<th>CityGML ver.</th>
 
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<td>[[Open Data Initiatives in Belgium|Belgium]]</td>
<th>Year</th>
 
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</tr>
<th>Acquisition technique</th>
 
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<th>Other thematic classes</th>
 
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<tr>
<th>Textures</th>
 
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<td>[[Open Data Initiatives in Canada|Canada]]</td>
<th>Notes</th>
 
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</tr>
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<tr>
 
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<tr>
<td>[http://www.businesslocationcenter.de/en/downloadportal Berlin]</td>
 
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<td>[[Open Data Initiatives in Finland|Finland]]</td>
<td>Germany</td>
 
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</tr>
<td>LOD2</td>
 
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<td>2.0</td>
 
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<tr>
<td>2013</td>
 
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<td>[[Open Data Initiatives in France|France]]</td>
<td>?</td>
 
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</tr>
<td>Terrain</td>
 
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<td>Yes</td>
 
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<tr>
<td>Released in 2015</td>
 
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<td>[[Open Data Initiatives in Germany|Germany]]</td>
</tr>
 
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</tr>
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<!-- Karl-Heinz Haefele according information from Thomas Kolbe -->
 
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<tr>
<td>[http://urbisdownload.gis.irisnet.be/en/dimension Brussels]</td>
 
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<TD>[[Open Data Initiatives in the Netherlands|Netherlands]]</td>
<td>Belgium</td>
 
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</tr>
<td>LOD2</td>
 
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<td>1.0</td>
 
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<tr>
<td>2014</td>
 
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<TD>[[Open Data Initiatives in Poland|Poland]]</td>
<td></td>
 
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</tr>
<td>Building</td>
 
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<td>No</td>
 
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<td>EPSG:31370</td>
 
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<TD>[[Open Data Initiatives in Switzerland|Switzerland]]</td>
</tr>
 
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<td>[http://suche.transparenz.hamburg.de/dataset/3d-stadtmodell-hamburg Hamburg]</td>
 
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<tr>
<td>Germany</td>
 
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<TD>[[Open Data Initiatives in the United States of America|United States of America]]</td>
<td>LOD1 and LOD2</td>
 
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</tr>
<td>1.0</td>
 
<td>2015</td>
 
<td>Cadastre footprints + LiDAR</td>
 
<td></td>
 
<td></td>
 
<td></td>
 
</tr>
 
<tr>
 
<td>[http://geo.data.linz.gv.at/katalog/geodata/3d_geo_daten_lod2/ Linz]</td>
 
<td>Austria</td>
 
<td>LOD2</td>
 
<td>1.0</td>
 
<td>2011</td>
 
<td>?</td>
 
<td></td>
 
<td>No</td>
 
<td></td>
 
</tr>
 
<tr>
 
<td>[http://data.grandlyon.com Lyon]</td>
 
<td>France</td>
 
<td>LOD2</td>
 
<td>2.0</td>
 
<td>2012</td>
 
<td></td>
 
<td>Terrain, water</td>
 
<td></td>
 
<td></td>
 
</tr>
 
<tr>
 
<td>[http://donnees.ville.montreal.qc.ca/dataset/maquette-numerique-batiments-citygml-lod2-avec-textures Montréal]</td>
 
<td>Canada</td>
 
<td>LOD2</td>
 
<td>1.0</td>
 
<td>2009</td>
 
<td>Photogrammetry</td>
 
<td></td>
 
<td>Yes</td>
 
<td></td>
 
</tr>
 
<tr>
 
<td>[http://www.gis.bgu.tum.de/en/projects/new-york-city-3d/ New York City by TUM]</td>
 
<td>United States</td>
 
<td>LOD1</td>
 
<td>2.0</td>
 
<td>2015</td>
 
<td>Photogrammetry in combination with existing public 2(.5)D datasets</td>
 
<td>Roads, lots, parks, water, terrain</td>
 
<td>No</td>
 
<td>Very rich in attributes</td>
 
</tr>
 
<tr>
 
<!-- Karl-Heinz Haefele according information from Thomas Kolbe -->
 
<td>[http://www1.nyc.gov/site/doitt/initiatives/3d-building.page New York City by DoITT]</td>
 
<td>United States</td>
 
<td>LOD2 (buildings are modeled with thematic surfaces in LOD2, however, for most buildings the geometric shape is LOD1)</td>
 
<td>2.0</td>
 
<td>2016</td>
 
<td>Cadastre footprints + LiDAR</td>
 
<td></td>
 
<td>No</td>
 
<td></td>
 
</tr>
 
<tr>
 
<td>[https://www.opengeodata.nrw.de/produkte/geobasis/3d-gm/ Nordrhein-Westfalen Open Data]</td>
 
<td>Germany</td>
 
<td>LOD 1 and LOD2</td>
 
<td>2.0</td>
 
<td>2017</td>
 
<td>Cadastre footprints + LiDAR</td>
 
<td>Building</td>
 
<td>No</td>
 
<td>urn:adv:crs:ETRS89_UTM32*DE_DHHN92_NH</td>
 
</tr>
 
<tr>
 
<td>[http://www.rotterdamopendata.nl/dataset/rotterdam-3d-bestanden Rotterdam]</td>
 
<td>Netherlands</td>
 
<td>LOD2</td>
 
<td>1.0</td>
 
<td>2010</td>
 
<td>Cadastre footprints + LiDAR</td>
 
<td></td>
 
<td>Yes</td>
 
<td></td>
 
</tr>
 
<tr>
 
<td>[https://data.overheid.nl/data/dataset/3d-model-denhaag The Hague]</td>
 
<td>Netherlands</td>
 
<td>LOD2</td>
 
<td>1.0</td>
 
<td>2011</td>
 
<td></td>
 
<td>Terrain</td>
 
<td>No</td>
 
<td>It contains terrain intersection curves</td>
 
</tr>
 
<tr>
 
<td>[https://www.geoportal-th.de/de-de/Downloadbereiche/Download-Offene-Geodaten-Th%C3%BCringen/Download-3D-Geb%C3%A4ude Thüringen]</td>
 
<td>Germany</td>
 
<td>LOD1 and LOD2</td>
 
<td>1.0</td>
 
<td>2015</td>
 
<td>Cadastre footprints + LiDAR</td>
 
<td></td>
 
<td></td>
 
<td></td>
 
</tr>
 
   
 
</table>
 
</table>
   
If you are aware of open datasets which are not listed above please contact [mailto:fbiljecki@gmail.com Filip Biljecki] (TU Delft) or [mailto:karl-heinz.haefele@kit.edu Karl-Heinz Häfele] (KIT).
 
   
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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].
 
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  +
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If you are aware of open datasets which are not listed above please contact [mailto:fbiljecki@gmail.com Filip Biljecki] (NUS Singapore) or [mailto:karl-heinz.haefele@kit.edu Karl-Heinz Häfele] (KIT).
  +
  +
You might also be interested in [http://www.citygml.org/?id=1539 sample CityGML data] available on the CityGML website, [https://3d.bk.tudelft.nl/opendata/3dfier/ datasets] from the Netherlands automatically generated with [https://github.com/tudelft3d/3dfier 3dfier], and in [https://3d.bk.tudelft.nl/biljecki/Random3Dcity.html procedurally generated CityGML models].
   
 
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].
 
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 12:05, 5 April 2022

 Open Data Initiatives

Austria
Belgium
Canada
Finland
France
Germany
Netherlands
Poland
Switzerland
United States of America




If you are aware of open datasets which are not listed above please contact Filip Biljecki (NUS Singapore) or Karl-Heinz Häfele (KIT).

You might also be interested in sample CityGML data available on the CityGML website, datasets from the Netherlands automatically generated with 3dfier, 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.