• DocumentCode
    513319
  • Title

    Estimation of snow water equivelant using a parameterized snow model

  • Author

    Du, Jinyang ; Shi, Jiancheng

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Snow Water Equivalent (SWE) is a crucial parameter in the studies of hydrology and climatology. Estimating SWE by using high-resolution radar systems, especially those capable of providing high-frequency observations, is an important task in the microwave studies. In this paper, a parameterized snow scattering model was first developed to provide the model basis for the snow inversion problems. A scheme based on the parameterized model, analysis on the depolarization factor as well as the scattering and extinction relationships between X and Ku-band snow backscattering signals was then developed for SWE inversion. Initial evaluation on the technique was made through theoretically simulated database. The estimated SWE is found to be well correlated with simulated SWE with an acceptable accuracy.
  • Keywords
    hydrological equipment; hydrology; microwave measurement; remote sensing by radar; snow; Ku-band snow backscattering signals; SWE estimation; X-band snow backscattering signals; climatology; depolarization factor; high-resolution radar systems; hydrology; parameterized snow scattering model; snow inversion problems; snow water equivelant estimation; Backscatter; Computational modeling; Databases; Hydrology; Optical scattering; Particle scattering; Polarization; Radar scattering; Scattering parameters; Snow; inversion; radar; snow water equivalent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418026
  • Filename
    5418026