
3D GeoInfo & SDSC 2025
20th 3D GeoInfo Conference | 9th Smart Data and Smart Cities Conference
02 - 05 September 2025 | Kashiwa Campus, University of Tokyo, Japan
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Session 2-b: SDSC - Land Use Location: FS Hall / Environmental Studies, GSFS Session Chair: Lidia Lazarova Vitanova | |
| Presentation 3 | |
Structuring Subsurface Knowledge: Data Management and a Modeling Framework for an Integrated Geological and Urban 3D Model — A Case Study for the City Center of Stuttgart 1: Regierungspräsidium Freiburg - Dept. 9 State Authority for Geology, Mineral Resources an Mining (LGRB); 2: Stuttgart University of Applied Sciences; 3: University of New South Wales, Faculty of the Built Environment In subsurface planning of urban areas, the use, management, and exchange of urban and geological data serve as a fundamental basis for collaboration among various specialist in the fields of urban and geological 3D modeling. Therefore, the development of a data model schema tailored to urban and geological subsurface models is an important foundation for data management. However, various information’s about buildings, infrastructures, and geological structures, that cannot be integrated in common data model structures requires an expansion and combination of the existing data model structures for geological and urban 3D models. The existing data model schemas can already manage various types of subsurface data. Building on this, this paper aims to advance the development of a data model by combining existing schemas to meet the requirements for data management in 3D voxel modeling of the subsurface. The conception of such a data model is implemented for a case study in the City of Stuttgart, based on the GML application schemas Geoscience Markup Language (GeoSciML) and City Geography Markup Language (CityGML). Our data model is applied using urban and geological model elements for the Stuttgart case study. In this context, the construction and integration of the model elements within a framework that comprises modeling, data management, and visualization tools were examined. | |