• DocumentCode
    3639083
  • Title

    Fully polarimetric ALOS PALSAR data applications for snow and ice studies

  • Author

    G. Venkataraman;Gulab Singh;Y. Yamaguchi

  • Author_Institution
    Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India
  • fYear
    2010
  • Firstpage
    1776
  • Lastpage
    1779
  • Abstract
    In this study, the capability assessment of fully polarimetric L-band ALOS PALSAR data has been carried out for snow discrimination from other targets. Eigenvaluve based polarization fraction value has been determined for assessing the capability of PALSAR data for snow discrimination. Radar snow index has been developed using polarization fraction and normalized third eigenvalue of coherency matrix. It has been found that radar snow index is more robust and simple to implement that supervised classification.
  • Keywords
    "Snow","Classification algorithms","Eigenvalues and eigenfunctions","Scattering","Radar","Indexes"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649401
  • Filename
    5649401
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3639083