The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 23–30, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-23-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 23–30, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-23-2021

  30 Jun 2021

30 Jun 2021

3D CITY MODEL AS A FIRST STEP TOWARDS DIGITAL TWIN OF SOFIA CITY

H. Dimitrov1 and D. Petrova-Antonova2 H. Dimitrov and D. Petrova-Antonova
  • 1Technical University of Munich, 21 Arcisstraße, 80333 München, Germany
  • 2Sofia University “St. Kl. Ohridski”, FMI, GATE Institute, 125 Tsarigradsko shose Blvd., 1113 Sofia, Bulgaria

Keywords: 3D City Model, CityGML 2.0, Buildings, Relief, Digital Twin, Spatial Data Integration

Abstract. Semantic 3D city models are increasingly applied for a wide range of analysis and simulations of large urban areas. Such models are used as a foundation for development of city digital twins, representing with high accuracy the landscapes and urban areas as well as dynamic of the city in terms of processes and events. In this context, this paper presents a 3D city model, which is a starting point for development of digital twin of Sofia city. The 3D model is compliant with CityGML 2.0 in LOD1, supporting integration of the buildings and terrain and enriching the buildings’ attributes with address information. District Lozenets of Sofia city is chosen as a pilot area for modelling. An approach for 3D transformation of proprietary geospatial data into CityGML schemas is presented. The integration of the buildings and terrain is an essential part of it, since the buildings often partially float over or sink into the terrain. A web application for user interaction with the 3D city model is developed. Its main features include silhouetting a single building, showing relevant overlay content, displaying shadows and styling of buildings depending on their attributes.