• DocumentCode
    2541860
  • Title

    Modeling of electromagnetic wave scattering from time-varying snowcover

  • Author

    Ding, K.H. ; Yang, Y.E. ; Shih, S.E. ; Kong, J.A. ; Davis, R.E.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    757
  • Abstract
    A study of the effects of time-varying snowcovers on the radar backscatter signatures is presented. To this objective, a snow physics model, known as SNTHERM, is applied to enable the simulation of the dynamical behavior of snowpacks. The SNTHERM model can provide thermal and physical properties such as the temperature profile, liquid water content, and the layering structure which affect the electromagnetic properties of snowpacks. To calculate the backscattering coefficients from snowcovers, the authors employ the dense medium radiative transfer (DMRT) theory with a clustered snow grain microstructure. This coupled model is then used to predict the influence of environmental variation on the millimeter wave radar response, and compare simulation results with snow backscatter measurements. Good agreement is obtained between model and measured data in both timing and magnitude
  • Keywords
    backscatter; electromagnetic wave scattering; hydrological techniques; radar cross-sections; radar theory; remote sensing by radar; snow; EHF; SNTHERM; backscatter; backscattering coefficients; clustered snow grain microstructure; dense medium radiative transfer theory; dynamical behavior; electromagnetic wave scattering; hydrology; layering structure; liquid water content; measurement technique; millimeter wave radar; mm wave; modelling; radar backscatter signature; radar remote sensing; radar scattering theory; simulation; snow cover; snow physics model; snowcover; snowpack; temperature profile; time-varying snowcover; Backscatter; Electromagnetic modeling; Electromagnetic scattering; Millimeter wave measurements; Millimeter wave radar; Physics; Predictive models; Snow; Temperature; Water;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516465
  • Filename
    516465