• DocumentCode
    3124803
  • Title

    Environmental Monitoring 2.0

  • Author

    Michel, Sebastian ; Salehi, Ali ; Luo, Liqian ; Dawes, Nicholas ; Aberer, Karl ; Barrenetxea, Guillermo ; Bavay, Mathias ; Kansal, Aman ; Kumar, K. Ashwin ; Nath, Suman ; Parlange, Marc ; Tansley, Stewart ; van Ingen, C. ; Zhao, Feng ; Zhou, Yongluan

  • Author_Institution
    Ecole Polytech. Fed. de Lausanne, Lausanne
  • fYear
    2009
  • fDate
    March 29 2009-April 2 2009
  • Firstpage
    1507
  • Lastpage
    1510
  • Abstract
    A sensor network data gathering and visualization infrastructure is demonstrated, comprising of global sensor networks (GSN) middleware and Microsoft SensorMap. Users are invited to actively participate in the process of monitoring real-world deployments and can inspect measured data in the form of contour plots overlayed onto a high resolution map and a digital topographic model. Users can go back in time virtually to search for interesting events or simply to visualize the temporal dependencies of the data. The system presented is not only interesting and visually enticing for non-expert users but brings substantial benefits to environmental scientists. The easily installed data acquisition component as well as the powerful data sharing and visualization platform opens up new ground in collaborative data gathering and interpretation in the spirit of Web 2.0 applications.
  • Keywords
    Internet; computerised monitoring; data acquisition; environmental science computing; middleware; Microsoft SensorMap; Web 2.0 applications; data acquisition component; digital topographic model; environmental monitoring 2.0; global sensor networks middleware; powerful data sharing; sensor network data gathering; visualization infrastructure; Collaboration; Data acquisition; Data engineering; Data processing; Data visualization; Hazards; Hydrologic measurements; Monitoring; Snow; USA Councils; GSN; Web 2.0; environmental monitoring; senseweb; sensor networks; sensormap;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1084-4627
  • Print_ISBN
    978-1-4244-3422-0
  • Electronic_ISBN
    1084-4627
  • Type

    conf

  • DOI
    10.1109/ICDE.2009.49
  • Filename
    4812559