• DocumentCode
    3372329
  • Title

    On the potential of Robust Satellite Technique (RST) approach for flooded areas detection and monitoring using thermal infrared data

  • Author

    Faruolo, M. ; Coviello, I. ; Lacava, T. ; Pergola, N. ; Tramutoli, V.

  • Author_Institution
    Dept. of Eng. & Phys. of the Environ., Univ. of Basilicata, Potenza, Italy
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    914
  • Lastpage
    917
  • Abstract
    Flooding is considered as the world´s most costly type of natural disaster in terms of both property damage and human causalities. The possibility to efficiently monitor flooding during the crisis and post-crisis phases is very important for supporting activities aimed at manage flood risk. Polar satellite sensors, like MODIS (Moderate Resolution Imaging Spectroradiometer), may ensure a steady and frequent stream of images for a detailed investigation and real time monitoring of flooded areas. In this paper, the Robust Satellite Technique (RST) approach has been applied to MODIS data acquired in the thermal infrared (TIR) region, to guarantee a continuous monitoring of flooded areas both during night and day. The Elbe river flood, occurred in Germany in August 2002, has been considered as a test case.
  • Keywords
    floods; image resolution; infrared imaging; satellite communication; MODIS; flooded areas detection; moderate resolution imaging spectroradiometer; natural disaster; real time monitoring; robust satellite technique; thermal infrared data; Floods; MODIS; Monitoring; Real time systems; Rivers; Satellite broadcasting; Satellites; Elbe river flood; Flood; MODIS; Robust Satellite Technique approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5653900
  • Filename
    5653900