• DocumentCode
    144266
  • Title

    Microwave remote sensing of multi-layered rough-surface snow-covered sea ice dielectric profile: Sensitivity analysis and inversion

  • Author

    Firoozy, Nariman ; Mojabi, Puyan ; Barber, David

  • Author_Institution
    Univ. of Manitoba, Winnipeg, MB, Canada
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4872
  • Lastpage
    4875
  • Abstract
    The goal of this paper is to investigate the sensitivity of the normalized radar cross section data collected from a given arctic profile of interest with respect to snow and ice complex permittivities and their thickness values. To calculate this sensitivity, the recently-developed boundary perturbation theory is used as a forward scattering solver. This sensitivity analysis is then used to set some guideline for appropriate data collection schemes to be used for arctic dielectric profile inversion. Finally, the inversion of two different data sets having different sensitivities to the unknown model parameters are presented and compared.
  • Keywords
    perturbation theory; remote sensing; sea ice; sensitivity analysis; snow; Arctic dielectric profile inversion; Arctic profile; appropriate data collection scheme guideline; boundary perturbation theory; data set sensitivity; forward scattering solver; ice complex permittivities; ice thickness value; microwave remote sensing; multilayered rough-surface snow-covered sea ice dielectric profile; normalized radar cross section data sensitivity; sensitivity analysis; sensitivity calculation; sensitivity inversion; snow complex permittivities; snow thickness value; unknown model parameter; Image reconstruction; Permittivity; Sea ice; Sea measurements; Sensitivity; Snow; Arctic dielectric profile inversion; Boundary perturbation theory; Electromagnetic inverse scattering; Sea ice remote sensing; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947586
  • Filename
    6947586