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 making 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.

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.


  • 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


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Key Publications

R. Barnes, S. Gupta, M. Gunn, G. Paar, B. Huber, A. Bauer, K. Furya, M.P. Caballo-Perucha, C. Traxler, G. Hesina, T. Ortner, J.-P. Muller (2017):
Application of PRo3D to Quantitative Analysis of Stereo-Imagery Collected During the Mars Utah Rover Field Investigation (MURFI) Analogue Rover Trials.
Proceedings of Lunar and Planetary Science Conference 2017.

R. Barnes, S. Gupta, M. Gunn, C. Traxler, G. Hesina, T. Ortner et al. (2017)
Quantitative analysis of digital outcrop data obtained from stereo-imagery using an emulator for the PanCam camera system for the ExoMars 2020 rover.
Geophysical Research Abstracts, Volume 19.

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.

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

Traxler C., Hesina G., Barnes R., Gupta S., Paar G. (2016):
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.


  • 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

Information material

Download information material about the software platform GEARViewer or the visualization tool PRo3D:

Current Projects

Former Projects