• DocumentCode
    575844
  • Title

    Comparison of different methods in glacier snow line detection using the polarimetric SAR image

  • Author

    Lei Huang ; Zhen Li

  • Author_Institution
    Center for Earth Obs. & Digital Earth, Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4426
  • Lastpage
    4429
  • Abstract
    Mountain glaciers and ice caps are often excellent indicators of regional climate change. The surface of a glacier can be roughly divided into accumulation and ablation areas, separated by the equilibrium line where accumulation is exactly equal to ablation. However, it is not easy to be detected on SAR image in glacial areas. The boundary between wet snow and ice is defined as the transient snow line (TSL). At the end of the ablation period, the transient snow line is often interpreted as an approximation of the equilibrium line, which is of special interest for the monitoring of climatic variations and glacier mass balance studies. In this paper, three methods to calculate the snow line altitude in late summer are introduced, and their accuracy and characteristics are analyzed.
  • Keywords
    climatology; glaciology; ice; radar polarimetry; remote sensing by radar; snow; synthetic aperture radar; TSL; ablation areas; accumulation areas; climatic variations; equilibrium line; glacier mass balance studies; glacier snow line detection; glacier surface; ice caps; mountain glaciers; polarimetric SAR image; regional climate change; snow line altitude; transient snow line; wet snow; Backscatter; Ice; Monitoring; Snow; Synthetic aperture radar; Transient analysis; Glacier; Synthetic aperture radar; snow line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350490
  • Filename
    6350490