• DocumentCode
    1326420
  • Title

    Freeze/thaw classification for prairie soils using SSM/I radiobrightnesses

  • Author

    Judge, Jasmeet ; Galantowicz, John F. ; England, A.W. ; Dahl, P.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    35
  • Issue
    4
  • fYear
    1997
  • fDate
    7/1/1997 12:00:00 AM
  • Firstpage
    827
  • Lastpage
    832
  • Abstract
    Data from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) have been used to classify snow-free soils in the northern Great Plains as either frozen or thawed. The technique is based on differing sensitivities among SMMR radiobrightness frequencies to liquid moisture and volume scattering in the upper few millimeters of bare soil. The SMMR is no longer active. A current near-equivalent is the Special Sensor Microwave/Imager (SSM/I). The authors demonstrate that SSM/I radiobrightnesses also exhibit differential sensitivities to liquid water and volume scattering in frozen soil despite their higher frequencies. They find that the best classification discriminants for SSM/I data are a combination of the 37-GHz V-pol radiobrightnesses and the 19-to-37-GHz V-pol spectral gradients. They also examine the sensitivity of the classification to atmospheric emission and absorption and find little effect
  • Keywords
    geophysical techniques; hydrological techniques; ice; microwave measurement; millimetre wave measurement; radiometry; remote sensing; soil; terrestrial heat; 19 GHz; 37 GHz; Canada; EHF; SHF; SSM/I; SSM/I radiobrightness; Special Sensor Microwave/Imager; USA; United States; brightness temperature; freeze thaw classification; geophysical measurement technique; geothermal; hydrology; ice; land surface; microwave radiometry; millimetre wave radiometry; mm wave; polarimetry; polarization; prairie soil; satellite remote sensing; soil moisture; temperature; terrain mapping; terrestrial heat; Atmospheric modeling; Brightness; Electromagnetic wave absorption; Frequency; Image sensors; Microwave radiometry; Microwave sensors; Moisture; Scattering; Soil;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.602525
  • Filename
    602525