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Intelligent Distributed Computing III pp 9–19Cite as

Challenges of Data Processing for Earth Observation in Distributed Environments

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 237))

Abstract

Remote sensing systems have a continuous growth in the capabilities that can be handled nowadays only using distributed systems. In this context, the challenges for the distributed systems coming from Earth observation field are reviewed in this paper. Moreover, the technological solutions used to built a platform for Earth observation data processing are exposed as proof of concept of current distributed system capabilities.

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Author information

Authors and Affiliations

  1. Computer Science Department, West University of Timişoara, Romania

    Dana Petcu

Authors
  1. Dana Petcu
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Cyprus, 75 Kallipoleos Str., P.O. Box 20537, CY-1678, Nicosia, Cyprus

    George Angelos Papadopoulos

  2. Software Engineering Department, Faculty of Automatics, Computers and Electronics, University of Craiova, Bvd. Decebal,Nr. 107, RO-200440, Craiova, Romania

    Costin Badica

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© 2009 Springer-Verlag Berlin Heidelberg

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Petcu, D. (2009). Challenges of Data Processing for Earth Observation in Distributed Environments. In: Papadopoulos, G.A., Badica, C. (eds) Intelligent Distributed Computing III. Studies in Computational Intelligence, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03214-1_2

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  • DOI: https://doi.org/10.1007/978-3-642-03214-1_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03213-4

  • Online ISBN: 978-3-642-03214-1

  • eBook Packages: EngineeringEngineering (R0)

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