• DocumentCode
    3353337
  • Title

    Analyzing the “Ear” feature of a dried up lake based on volume scattering modelling

  • Author

    Gao, Zhihong ; Shao, Yun ; Gong, Huaze ; Wan, Zi

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4454
  • Lastpage
    4457
  • Abstract
    This paper presents the volume scattering mechanism of subsurface and analyzes the fundamental cause of “Ear” feature of Lop Nur on SAR images. ALOS PALSAR image acquired in 2007 was collected, and the Cloude decomposition method was conducted on the calibrated image to extract the volume scattering component. Two field investigations were conducted in 2006 and 2008 respectively, and lots of precise soil samples were gathered for the parameters analysis. Validation of the model is also conducted based on the surveying parameter and the image processing results, and the fitting effect is relatively good. According to the analysis on the parameters of the model, it is found that salinity at subsurface is the fundamental reason to “Ear” feature, which is strongly correlated with Lop Nur evolution.
  • Keywords
    geomorphology; geophysical image processing; geophysical techniques; lakes; AD 2006; AD 2007; AD 2008; ALOS PALSAR image; China; Cloude decomposition method; Ear feature; Lop Nur lake; SAR images; dried up lake; image processing; soil samples; volume scattering component; volume scattering modeling; Analytical models; Backscatter; Ear; Remote sensing; Scattering; Soil; Solid modeling; Lop Nur “Ear” feature; SAR; polarimetric decomposition; volume scattering modelling;
  • 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.2010.5652668
  • Filename
    5652668