• DocumentCode
    1370712
  • Title

    Radar measurements of snow: experiment and analysis

  • Author

    Kendra, John R. ; Sarabandi, Kamal ; Ulaby, Fawwaz T.

  • Author_Institution
    Raytheon Syst. Co., Dallas, TX, USA
  • Volume
    36
  • Issue
    3
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    864
  • Lastpage
    879
  • Abstract
    This paper considers two specific types of experiments conducted to improve the authors´ understanding of radar backscatter from snow-covered ground surfaces. The first experiment involves radar backscatter measurements at Cand X-band of artificial snow of varying depths. The relatively simple target characteristics, combined with an exhaustive ground truth effort, make the results of this experiment especially amenable to comparison with predictions based on theoretical methods for modeling volume-scattering media. It is shown that both conventional and dense-medium radiative transfer models fail to adequately explain the observed results. A direct polarimetric inversion approach is described by which the characteristics of the snow medium are extracted from the measured data. The second type of experiment examined in this study involves diurnal backscatter measurements that were made contemporaneously with detailed measurements of the snow-wetness depth profiles of the observed scene. These data are used to evaluate the capability of a recently proposed algorithm for snow wetness retrieval from polarimetric synthetic aperture radar (SAR) measurements, which has hithertofore been applied only to data from very complex and extended mountainous terrains
  • Keywords
    hydrological techniques; radar cross-sections; radar polarimetry; remote sensing by radar; snow; synthetic aperture radar; C-band; SAR; SHF; X-band; hydrology; measurement technique; polarimetric inversion; radar backscatter; radar polarimetry; radar remote sensing; radar scattering; retrieval algorithm; snow cover; snow-covered ground surface; snowcover; synthetic aperture radar; Backscatter; Information retrieval; Millimeter wave radar; Predictive models; Radar measurements; Radar remote sensing; Radar scattering; Radar theory; Sensor phenomena and characterization; Snow;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.673679
  • Filename
    673679