• DocumentCode
    1431558
  • Title

    A model for altimeter returns from penetrable geophysical media

  • Author

    Adams, Robert J. ; Brown, Gary S.

  • Author_Institution
    Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • Volume
    36
  • Issue
    5
  • fYear
    1998
  • fDate
    9/1/1998 12:00:00 AM
  • Firstpage
    1784
  • Lastpage
    1793
  • Abstract
    The radar altimeter is a well-understood instrument for monitoring the world´s oceans. There has been a recent effort to extend altimeter techniques to the study of the world´s ice sheets. To this end, several authors have developed average altimeter waveform models that incorporate pulse-penetration effects to varying degrees. In this paper, the authors extend these models to more adequately account for the effects of surface roughness and subsurface inhomogeneities on the average scattered waveform. This leads to a waveform model that is useful in analyzing altimeter returns obtained over a wider range of geophysical media, such as snow, ice, and foliage, which are characterized by strong subsurface inhomogeneities. Representative results of applying this extended model to airborne altimeter measurements made over various regions of the Greenland ice sheet in September 1991 are provided
  • Keywords
    backscatter; geophysical techniques; glaciology; hydrological techniques; radar cross-sections; radar theory; remote sensing by radar; altimeter return model; backscatter; geophysical measurement technique; glaciology; hydrology; land surface; penetrable geophysical media; polar ice sheet; pulse-penetration effect; radar altimetry method; radar remote sensing; radar scattering; radiowave scattering; scattered waveform; subsurface inhomogeneities; surface roughness; terrain mapping; vegetation; waveform model; Ice; Instruments; Monitoring; Nonhomogeneous media; Oceans; Radar scattering; Rough surfaces; Sea surface; Surface roughness; Surface waves;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.718645
  • Filename
    718645