Current trends and demands in visualization in the geosciences

Gordon Erlebacher, David A Yuen, Fabien Dubuffet

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


Geosciences along with many other disciplines in science and engineering, faces an exponential increase in the amount of data generated from observation, experiment and large-scale, high-resolution 3-D numerical simulations. In this communication we describe the fundamentals of visualization necessary to meet these challenges. We present several alternative methodologies such as 2D/3D feature extraction, segmentation methods, and flow topology, to help better understand the physical structure of the data. We use AMIRA from TGS to demonstrate our concepts. Examples are drawn from fields in computational fluid dynamics, 3-D mantle convection and seismic tomography. Finally, we present our perspective on the future of visualization.

Original languageEnglish (US)
JournalElectronic Geosciences
StatePublished - Dec 1 2001


  • Extracting features
  • Large data sets
  • Visualization


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