• DocumentCode
    2195941
  • Title

    Hydrological Sensor Web for the South Esk Catchment in the Tasmanian state of Australia

  • Author

    Guru, Siddeswara Mayura ; Taylor, Peter ; Neuhaus, Holger ; Shu, Yanfeng ; Smith, Daniel ; Terhorst, Andrew

  • Author_Institution
    CSIRO Tasmanian ICT Centre, Hobart, TAS
  • fYear
    2008
  • fDate
    7-12 Dec. 2008
  • Firstpage
    432
  • Lastpage
    433
  • Abstract
    The sensor Web is a distributed sensing system in which information is shared globally. The emergence of this technology will enable the integration of different sensing platforms with temporal and spatial variability. This has a potential to revolutionise hydrological monitoring and forecasting. Our project will establish a sensor Web test bed in the South Esk river catchment, which is located in the North East of Tasmania. The test bed will allow us to evaluate the emerging open geospatial consortium standards and specifications for sensor Web enablement (SWE) and provide a research platform for developing next-generation hydrological and water resource management tools. We intend to use short-term river flow forecasting as our use case for the SWE test bed.
  • Keywords
    Internet; distributed sensors; formal specification; rivers; water resources; water supply; Australia; South Esk catchment; Tasmanian state; distributed sensing system; hydrological sensor Web; information sharing; open geospatial consortium specifications; open geospatial consortium standards; sensor Web enablement; short-term river flow forecasting; spatial variability; temporal variability; Australia; Government; Intelligent sensors; Ontologies; Predictive models; Rivers; Sensor phenomena and characterization; Sensor systems; Service oriented architecture; System testing; Sensor web; data driven modelling; scientific workflow; semantic integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    eScience, 2008. eScience '08. IEEE Fourth International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    978-1-4244-3380-3
  • Electronic_ISBN
    978-0-7695-3535-7
  • Type

    conf

  • DOI
    10.1109/eScience.2008.89
  • Filename
    4736832