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Scientific Visualization for Atmospheric Data Analysis in Collaborative Virtual Environments
German Aerospace Center (DLR), Simulation and Software Technology, Baunschweig, Germany.
German Aerospace Center - DLR, Germany.
The University of Salford, UK.
Thales Alenia Space, Italy.
Show others and affiliations
2016 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

The three year European research project CROSS DRIVE (Collaborative Rover Operations and Planetary Science Analysis System based on Distributed Remote and Interactive Virtual Environments) started in January 2014. The research and development within this project is motivated by three use case studies: landing site characterization, atmospheric science and rover target selection.

Currently the implementation for the second use case is in its final phase. Here, the requirements were generated based on the domain experts input and lead to development and integration of appropriate methods for visualization and analysis of atmospheric data. The methods range from volume rendering, interactive slicing, iso-surface techniques to interactive probing. All visualization methods are integrated in DLR’s Terrain Rendering application. With this, the high resolution surface data visualization can be enriched with additional methods appropriate for atmospheric data sets. This results in an integrated virtual environment where the scientist has the possibility to interactively explore his data sets directly within the correct context. The data sets include volumetric data of the martian atmosphere, precomputed two dimensional maps and vertical profiles. In most cases the surface data as well as the atmospheric data has global coverage and is of time dependent nature. Furthermore, all interaction is synchronized between different connected application  instances, allowing for collaborative sessions between distant experts.

Place, publisher, year, edition, pages
2016. Vol. 18, p. 1-2
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-151728OAI: oai:DiVA.org:liu-151728DiVA, id: diva2:1253139
Conference
European Geosciences Union General Assembly 2016 Vienna, Austria, 17–22 April 2016
Available from: 2018-10-03 Created: 2018-10-03 Last updated: 2018-10-30Bibliographically approved

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Scientific Visualization for Atmospheric Data Analysis in Collaborative Virtual Environments(93 kB)19 downloads
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Engelke, Wito

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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