The Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan runs a project called PLATEAU, in which Semantic 3D City Models are being created for 56 cities in Japan. The models are structured according to the international OGC standard CityGML. Besides the predefined CityGML objects and their attributes, additional information are represented using the i-Urban Revitalization Application Domain Extension (CityGML i-UR ADE), which was also developed in the context of the PLATEAU project. All datasets are provided as Open Data and they can be downloaded and used freely, also for commercial applications.
The CityGML datasets comprise digital terrain models; buildings in Levels-of-Detail (LOD) 0, 1, and 2; bridges; transportation objects; and land use objects. The bridge models and a subset of the building models are textured. Furthermore, at least for the city of Tokyo (this is the city model we looked at) also water body objects were created for different simulations of Tsunamis; they are also represented in CityGML. We wanted to see, how easy (or difficult) it is to work with the provided datasets and show below the results and give some notes on the usage especially with our Open Source 3D geodatabase suite 3DCityDB (https://www.3dcitydb.org). The i-UR ADE is supported by the 3DCityDB, the corresponding extension package can be downloaded from here: https://github.com/3dcitydb/iur-ade-citydb.
Using the functionalities of the 3DCityDB we made a coordinate reference system (CRS) transformation from the originally used compound CRS using a 2D geographic plus a 1D vertical metric CRS into a compound projected metric 2D CRS (UTM Zone 54N, JGD2011 datum) plus a 1D vertical metric CRS and re-exported the data again in CityGML (including the i-UR ADE data) as compressed ZIP files, which we provide for download below. We also created 3D visualization models in KML, COLLADA, and glTF using the export functionalities of the 3DCityDB for interactive viewing of the models in the 3DCityDB webmap client (which is based on CesiumJS) as well as Google Earth. They are provided as online demos below.
Find more information on the PLATEAU project and the CityGML i-UR ADE on the following websites:
- Project website: https://www.mlit.go.jp/plateau/
- Original dataset for Tokyo in CityGML (japanese): https://www.geospatial.jp/ckan/dataset/plateau-tokyo23ku-citygml-2020
- Original dataset for Tokyo in CityGML (english translation via Google Translate): https://translate.google.com/translate?sl=ja&tl=en&u=https://www.geospatial.jp/ckan/dataset/plateau
- CityGML i-Urban Revitalization Application Domain Extension: https://www.kantei.go.jp/jp/singi/tiiki/toshisaisei/itoshisaisei/iur/
- Publication on the CityGML i-UR ADE: http://dx.doi.org/10.5194/isprs-annals-v-4-2020-179-2020
The datasets for the city of Tokyo were used by the TUM Chair of Geoinformatics for creating interactive demos including a solar potential simulation. The modified data is also provided for download. Find more information on this city model for the entire city of Tokyo below. The model is visualized using the 3DCityDB Webmap client.
The Chair of Geoinformatics at the Technical University of Munich (TUM) provides these datasets for free usage. No warranties or guarantee on the correctness, completeness, or appropriateness for any specific use is given. In no case TUM / Chair of Geoinformatics can be held liable for damages, caused directly or indirectly, by using or working with these datasets or software tools. The data, software, and other materials are provided in unaltered state (“as is“), and no guarantee is given that it will run on or work with any specific system or operating system.