• DocumentCode
    2155528
  • Title

    Multi-sensor distributive on-line processing, visualization and analysis system

  • Author

    Berrick, S. ; Leptoukh, G. ; Liu, Z. ; Pham, L. ; Rui, H. ; Shen, S. ; Teng, W. ; Zhu, T.

  • Author_Institution
    Goddard Earth Sci. Data & Inf. Services Center, Greenbelt, MD
  • Volume
    3
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    2030
  • Abstract
    The ability to use data stored in the current Earth Observing System (EOS) archives for studying regional or global phenomena is highly dependent on having a detailed understanding of the data\´s internal structure and physical implementation. Gaining this understanding and applying it to data reduction is a time-consuming task that must be undertaken before the core investigation can begin. This is an especially difficult challenge when science objectives require users to deal with large multi-sensor data sets that are usually of different formats, structures, and resolutions. The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) has taken a major step towards meeting this challenge by developing an infrastructure that supports a Web interface that allows users to perform interactive analysis online without downloading any data. The underlying infrastructure that integrates all the components is called GES-DISC Interactive Online Visualization and Analysis Infrastructure or "Giovanni". Giovanni provides interactive, online, analysis tools for data users to facilitate their research
  • Keywords
    Internet; data analysis; data mining; data reduction; data structures; data visualisation; distributive data processing; geophysical signal processing; sensor fusion; user interfaces; EOS; Earth Observing System; GES-DISC Interactive Analysis Infrastructure; GES-DISC Interactive Online Visualization; Giovanni; NASA Goddard Earth Sciences Data and Information Services Center; Web interface; data internal structure; data reduction; data storage; global phenomena; multisensor data sets; multisensor distributive on-line processing; physical implementation; regional phenomena; time-consuming task; Data analysis; Data mining; Data visualization; Earth Observing System; Geoscience; Information analysis; Information retrieval; Investments; NASA; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1370748
  • Filename
    1370748