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International Conference on Conceptual Modeling

ER 2006: Advances in Conceptual Modeling - Theory and Practice pp 75–84Cite as

Large-Scale Earth Science Services: A Case for Databases

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 4231)

Abstract

Earth sciences are about to follow the mapping domain where raster data increasingly get integrated in online services, contribute by far the largest volume. Interestingly, although more and more raster services are getting online, there is few work on a comprehensive model of raster services, rather architectures are of ad-hoc style and optimized towards very narrow applications, such as fast zoom and pan on seamless maps.

We claim that databases introduce a new quality of service on high-volume multi-dimensional earth science raster data, characterized by clear and understandable concepts, extensibility, and scalability. To support this, we present a comprehensive conceptual model for raster data in earth science and discuss how an efficient architecture can be derived from it, which is implemented in the rasdaman system. Further, we show how such concepts play a role in the development of OGC’s geo raster services, WCS and WCPS. Finally, we discuss some research challenges.

Keywords

  • Raster service
  • coverage service
  • rasdaman
  • OGC

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  • DOI: 10.1007/11908883_11
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Author information

Authors and Affiliations

  1. International University Bremen, Campus Ring 12, D-28759, Bremen

    Peter Baumann

Authors
  1. Peter Baumann
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Editor information

Editors and Affiliations

  1. Flinders University, Adelaide, Australia

    John F. Roddick

  2. iSOCO, Spain

    V. Richard Benjamins

  3. CEDRIC-CNAM, France

    Samira Si-said Cherfi

  4. University of Cincinnati, USA

    Roger Chiang

  5. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  6. Department of Computer Science and Engineering, The University of Texas at Arlington, USA

    Ramez A. Elmasri

  7. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, Italy

    Fabio Grandi

  8. Drexel University, USA

    Hyoil Han

  9. E-Business and Web Science Research Group, Bundeswehr University Munich, Germany

    Martin Hepp

  10. University of Patras, Argolidos 40-42, 153-44, Gerakas Attikis, Greece

    Miltiadis D. Lytras

  11. University of Manitoba, Canada

    Vojislav B. Mišić

  12. Ghent University, Belgium

    Geert Poels

  13. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  14. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  15. EPFL, Switzerland

    Christelle Vangenot

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Baumann, P. (2006). Large-Scale Earth Science Services: A Case for Databases. In: , et al. Advances in Conceptual Modeling - Theory and Practice. ER 2006. Lecture Notes in Computer Science, vol 4231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908883_11

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  • DOI: https://doi.org/10.1007/11908883_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47703-7

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