• DocumentCode
    3066050
  • Title

    An application of polarimtric radar analysis on geophysical phenomena

  • Author

    Shibayama, Takashi ; Yamaguchi, Yoshio

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Niigata Univ., Niigata, Japan
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3191
  • Lastpage
    3194
  • Abstract
    It is known that all weather capability makes radar remote sensing the most suitable measure for natural disaster monitoring. Among them, fully polarimetric SAR (POLSAR) data with amplitude and phase information, i.e., the scattering matrix; is possible to retrieve the object information in more detail regardless of the weather. We applied polarimetric method to POLSAR data over actual disaster suffered area to show the efficiency of POLSAR data for disaster monitoring. A large scale landslide was clearly detected in a single decomposed image. Also, identifying landslides newly generated by an earthquake was possible to compare decomposed images of pre and post an earthquake. It is important that utilizing images observed in different direction (orbit) to reduce omission errors.
  • Keywords
    earthquakes; geomorphology; geophysical techniques; radar polarimetry; remote sensing by radar; POLSAR data; amplitude information; geophysical phenomena; large scale landslide; natural disaster monitoring; omission errors; phase information; polarimetric SAR data; polarimetric radar analysis; post earthquake decomposed image; pre-earthquake decomposed image; radar remote sensing; scattering matrix; single decomposed image; weather capability; Earthquakes; Monitoring; Orbits; Satellites; Scattering; Synthetic aperture radar; Terrain factors; 4-CSPD; ALOS/PALSAR; POLSAR; disaster monitoring; landslide;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723505
  • Filename
    6723505