Geospatial Visualization

The group focusses on methods for the virtual exploration and visual analysis of geospatial data ranging from infrastructure applications to planetary science.

Research Priorities

Our goal is to provide interactive 3D environments for the virtual exploration and visual analysis of various types of reconstructed geospatial data sets combined with planning data. Beside geometric representations, it is also very important to consider non-spatial data such as sensor measurements, semantics and statistics. This data fusion enables domain experts to comprehend complex relations and therefore supports them in finding better decisions. To this end, we conduct research on adapting methods from information visualization for virtual 3D environments. Another priority is the support of Building Information Modelling (BIM), as it becomes the new standard to plan and manage infrastructure projects. New decision support mechanisms resulting from our research work will contribute to ongoing development of BIM.

Our group will closely cooperate with the Visual Analytics group, the Semantic Modelling and Acquisition group and the Multiple Senses group. Visual analytics is relevant for geo-referenced non-spatial data. The Semantic Modelling and Acquisition group provides the visualization platform Aardvark and know-how on semantics and reconstruction. The Multiple Senses Group brings in augmented and virtual reality (AR/VR) and 3D printing, which opens new ways to comprehend and interact with geospatial data.

Competences

  • Geospatial visual analysis
  • 3D interaction methods
  • GPU accelerated visualization and computation
  • Processing of geographic data for real-time rendering
  • Geographic projection systems
  • BIM interfaces and standards

Key Publications

Tao, Y., Muller, J. P., Willner, K., Morley, J., Sprinks, J., Traxler, C., Paar, G. (2014):
3D Data Products and Web-GIS for Mars Rover Mission for Seamless Visualisation from Orbit to Ground-level. In Proceedings of ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-4, 2014, pp.249-256.

Traxler, C, Paar, G, Gupta, S, Hesina, G, Sander, K, Barnes, R, and Nauschnegg, B. (2015):
A virtual environment for the accurate geologic analysis of Martian Terrain, in: Proceedings of EGU 2015.

Traxler C., Hesina G., Barnes R., Gupta S., Paar G.: The PRoViDE framework for the quantitative geologic analysis of reconstructed Martian terrain and outcrops. In Geophysical Research Abstracts, Vol. 18, EGU2016-7196, EGU General Assembly 2016.

Ortner T., Sorger, J., Piringer, H., Hesina, G., Gröller, E. (2016):
Visual Analytics and Rendering for Tunnel Crack Analysis.
Proceedings of CGI 2016.

Ortner T., Sorger, J., Steinlechner, H., Hesina, G., Piringer, H., Gröller E. (2016):
Vis-A-Ware: Integrating Spatial and Non-Spatial Visualization for Visibility-Aware Urban Planning.
IEEE Transactions on Visualization and Computer Graphics 2016.

References

Geodata ZT, Geoconsult ZT, dibit, ÖBB, Linsinger ZT

Joanneum Research

Faculty of Engineering, Department of Earth Science & Engineering, Imperial College London, UK

Department of Space and Climate Physics, Imaging Group, University College London, UK

Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany

Space and Planetary Robotics Dept. of Computer Science, Aberystwyth University, Wales

Moscow University of Geodesy and Cartography (MIIGAiK), Moscow, Russia

NASA, Jet Propulsion Laboratory (JPL)

European Space Agency (ESA)

Arizona State University

Projects