Skip to main content
SpringerLink
Log in

Remote data analysis, visualization and problem solving environment (PSE) based on wavelets in the geosciences

  • Original Article
  • Published:
Visual Geosciences

Abstract

We discuss here the issues faced by earth scientists in analyzing and visualizing large datasets over a GRID-like setup from a client-server perspective. We approach this problem by using a remote, web-based visualization and data analysis framework, called WEB-IS, and by employing second-generation wavelets as a means for reducing the amount of data transferred and for extracting coherent features in complex geophysical flows and surface faulting patterns. As an example, we describe how onboard processors on satellites can function as a server for beaming down extracted information to the client computer on the ground, thus exemplifying WEB-IS as a viable middleware on a GRID network for geosciences.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Barth TJ, Chan T, Haimes R (eds) (2002) Multiscale and multiresolution: theory and applications. Springer, Berlin Heidelberg New York, 389 pp

    Google Scholar 

  • Bergeron SY, Vincent AP, Yuen DA, Tranchant BJS, Tchong C (1999) Viewing seismic velocity anomalies with 3-D continuous Gaussian wavelets. Geophys Res Lett 26(15):2311–2314

    Article  Google Scholar 

  • Chen L, Fujishiro I, Nakajima K (2003) Parallel visualization for unstructured geoscientific data. Pure Appl Geophys (in press)

  • Daubechies I (1988) Orthonormal bases of compactly supported wavelets. Comm Pure Appl Math 41:909–996

    Google Scholar 

  • Dzwinel W, Yuen DA, Kaneko Y, Boryczko K, Ben-Zion Y (2003) Multi-resolution clustering analysis and 3-D visualization of multitudinous synthetic earthquakes. Visual Geosciences 8, DOI 10.1007/s10069-002-0006-2

  • Erlebacher G, Yuen DA (2002a) A wavelet toolkit for visualization and analysis of large datasets in earthquake research. Pure Appl Geophys (in press, 2004)

  • Erlebacher G, Yuen DA (2002b) Web-based visualization services for the geosciences. Eos Trans, AGU 83(47), Abstract NG61A-05, San Francisco, California

  • Fox GC (2003) Grid computing environments. Comput Sci Eng, High-Dimensional Data 5:2

    Google Scholar 

  • Fox GC et al (2002) Grid services for earthquake sciences. In: Concurr Comp Pract E 14/6–7:371–393

  • Garbow ZA, Olson NR, Yuen DA, Boggs JM (2001) Interactive web-based map: applications to large data sets in the geosciences. Electronic Geosciences 6, DOI 10.1007/s10069-001-1018-z

  • Garbow ZA, Erlebacher G, Yuen DA, Sevre EO, Nagle AR, Kaneko Y (2002) Web-based interrogation of large scale geophysical datasets and clustering analysis of many earthquake events from desktop and handheld computers. Eos Trans, AGU 83(47), Abstract NG12A-1019, San Francisco, California

  • Garbow ZA, Erlebacher G, Yuen DA, Boggs JM, Dubuffet F (2003) Web-based interrogation of large-scale geophysical datasets from handheld devices. Visual Geosciences 8, DOI 10.1007/s10069-003-0007-9

  • Grossman RL, Kamath C, Kegelmeyer P, Kumar V, Namburu RR, (eds) (2001) Data mining for scientific and engineering applications. Kluwer, Dordrecht, 601 pp

  • Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning : data mining, inference and prediction. Springer, Berlin Heidelberg New York, 533 pp

    Google Scholar 

  • Hinneburg A, Keim D, Wawryniuk M (2003) Using projections to visually cluster high-dimensional data, computing in science and engineering. Comput Sci Eng, High-Dimensional Data 5:2

    Google Scholar 

  • Horbelt S, Unser M, Vetterli M (1999) Wavelet projections for volume rendering. In: Alberti MA, Gallo G, Jelinek I (eds) Proc Conf Eurographics ‘99, 1999, Milan, Italy, 428 pp

  • Kadlec BJ, Yang XL, Wang Y, Bollig EF, Garbow ZA, Yuen DA, Erlebacher G (2003) WEB-IS (Integrated System): an overall view. Eos Trans, AGU 84(46), Abstract NG11A-0163, San Francisco, California

  • Kaneko Y, Yuen DA, Dzwinel W, Boryszko K, Ben-Zion Y, Sevre EO (2002) Multi-resolution clustering analysis and visualization of around one million synthetic earthquake events. Eos Trans, AGU 83(47), Abstract NG12A-1020, San Francisco, California

  • Kumar R, Foufoula-Georgiou E (1997) Wavelet analysis for geophysical applications. Rev Geophys 35:385–412

    Google Scholar 

  • Mallat S (1998) A wavelet tour of signal processing. Academic Press, New York, 478 pp

  • Matsui H, Chen L, Fujishiro I, Okuda H (2002) Visualization strategy on the Earth simulator for large-scale unstructured data sets of GeoFEM. Eos Trans, AGU 83(47), Abstract NG61A-02, San Francisco, California

  • Piromallo C, Vincent AP, Yuen DA, Morelli A (2001) Dynamics of the transition zone under Europe inferred from wavelet cross spectra of seismic tomography. Phys Earth Planet In 125:125–39

    Article  Google Scholar 

  • Stegmaier S, Magallon M, Ertl T (2002) A generic solution for hardware-accelerated remote visualization. EUROGRAPHICS, IEEE TCVG Symposium on Visualization

  • Sweldens W (1998) The lifting scheme: a construction of second generation wavelets. SIAM J Math Anal 29(2):511–546

    Article  Google Scholar 

  • Vasilyev OV, Paolucci S (1996) A dynamically adaptive multilevel wavelet collocation method for solving partial differential equations in a finite domain. J Comp Phys 125:498–512

    Article  Google Scholar 

  • Vasilyev OV, Podladchikov YY, Yuen DA (1998) Modeling of compaction driven flow in poro-viscoelastic medium using adaptive wavelet collocation method. Geophys Res Lett 25(17):3239–3243

    Article  Google Scholar 

  • Vecsey L, Hier Majumder C, Yuen DA (2003) Multi-resolution tectonic features over the Earth inferred from the wavelet transformed geoid. Visual Geosciences 8, DOI 10.1007/s10069-003-0008-8

  • Wang Y, Erlebacher G, Garbow ZA, Yuen DA (2003) Web-based service of a visualization package Amira for the geosciences. Visual Geosciences (submitted)

  • Yang R, Kafatos M, Doty B, Kinter III JL, Pham L (2003) A distributed enhanced server for multidimensional scientific data. Comput Sci Eng, High-Dimensional Data 5(2)

  • Yang XL, Wang Y, Bollig EJ, Kadlec BJ, Garbow ZA, Yuen DA, Erlebacher G (2003) WEB-IS2: next generation web services using Amira visualization package. Eos Trans, AGU 84(46), Abstract NG11A-0164, San Francisco, California

  • Yuen DA, Vincent AP, Bergeron SY, Dubuffet F, Ten AA, Steinbach VC, Starin L (2000) Crossing of scales and nonlinearities in geophysical processes. In: Boschi E, Ekstrom G, Morelli A (eds) Problems in geophysics for the new millennium. Editrice Compositori, Bologna, Italy, pp 403–463

  • Yuen DA, Vincent AP, Kido MJB, Vecsey L (2002) Geophysical applications of multidimensional filtering with wavelets. Pure Appl Geophys 159(10):2285–2309

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Professor Geoffrey C. Fox for opening our eyes to the GRID concept. We also benefited greatly from discussions with Oleg V. Vasilyev, J.M. Boggs, Fabien W. Dubuffet, Alain P. Vincent, N.R. Olson, Erik O.D. Sevre, Witold Dzwinel and Yoshi J.B.D. Kaneko. This research has been supported by the Geophysics and Advanced Computational Research, and Advanced Computer and Infrastructure and Research programs of the National Science Foundation and the Basic Energy Sciences program of the Dept. of Energy.

Author information

Author notes

  1. Zachary A. Garbow

    Present address: 499 Walter Library, 117 Pleasant Street, Minneapolis, MN, 55455, USA

Authors and Affiliations

  1. Dept. of Geology and Geophysics and Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, 55455–0219, USA

    David A. Yuen & Zachary A. Garbow

  2. School of Computational Sciences and Information Technology, Florida State University, Tallahassee, FL, 32306–4120, USA

    Gordon Erlebacher

Authors
  1. David A. Yuen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zachary A. Garbow
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gordon Erlebacher
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zachary A. Garbow.

Additional information

Reviewed by: Prof. I.D. Clemens, Prof. L. Hanyk

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yuen, D.A., Garbow, Z.A. & Erlebacher, G. Remote data analysis, visualization and problem solving environment (PSE) based on wavelets in the geosciences. Vis Geosci 9, 29–38 (2004). https://doi.org/10.1007/s10069-003-0012-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10069-003-0012-z

Keywords

Search

Navigation