[Forschungsseminar-BSV] Research Seminar 'Computer Graphics, Image Processing, and Visualization'

[Vanessa Kretzschmar]

I N V I T A T I O N

======================================================================

to the Research Seminar 'Computer Graphics, Image Processing, and
Visualization'

     on Wednesday, July the 12nd, 2023, at 01:15 PM,
     in the room P-701, Paulinum, Augustusplatz 10, 04109 Leipzig, also 
online.
     (https://conf.fmi.uni-leipzig.de/b/van-bwb-jil-vk2)

======================================================================

A talk will be given by

     Maximilian Söchting

and is entitled:

     'Advancing Interactive Visualizations of Large-Scale, 
Multi-Dimensional Earth Observation Data'

Abstract:

     Climate change, resource scarcity, and resulting conflicts pose a
     significant threat to the global political and economic system. To 
better
     comprehend and address these challenges, it is crucial to gather and
     analyze climate-related data using satellites. As remote sensing, 
climate
     modeling, and climate impact modeling evolve, there is a growing 
emphasis
     on high-resolution data sets in terms of time and space. However, 
larger
     data sets present challenges in terms of quick and intuitive data
     comprehension. Query execution can take hours or even days, and 
conventional
     visualization software struggles with processing such vast amounts of
     data. As part of this project, the client-server software architecture
     "Lexcube" for interactive exploration and visualization of multivariate
     remote sensing data sets was developed. It allows to explore large data
     in any modern web browser, including mobile devices. The data is 
visualized
     as a 3D “earth cube” with a temporal dimension in addition to the two
     spatial dimensions. This talk will focus on recent developments 
surrounding
     Lexcube, i.e., physicalization efforts (interactive and 
non-interactive)
     and virtual/augmented reality. Additionally, future developments such
     as integration into data science workflows and multi-cube 
visualizations
     are discussed.

======================================================================

On behalf of Professor Scheuermann all those interested are cordially
invited to attend.

Yours sincerely
Vanessa Kretzschmar
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