• DocumentCode
    1301498
  • Title

    Sensitivity to soil moisture by active and passive microwave sensors

  • Author

    Du, Yang ; Ulaby, Fawwaz T. ; Dobson, M. Craig

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    38
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    105
  • Lastpage
    114
  • Abstract
    The backscatter measured by radar and the emission measured by a radiometer are both very sensitive to the moisture content mυ of bare-soil surfaces. Vegetation cover complicates the scattering and emission processes, and it has been presumed that the addition of vegetation masks the soil surface, thereby reducing the radiometric and radar soil-moisture sensitivities. Even though researchers working in the field of microwave remote sensing of soil moisture are all likely to agree with the preceding two statements, numerous claims and counterclaims have been voiced, primarily at symposia and workshops, espousing the superiority of the radiometric technique over the radar, or vice versa. The discussion is often reduced to disagreements over the answer to the following question “Which of the two sensing techniques is less impacted by vegetation cover?” This paper is an attempt to answer that question. Using realistic radiative-transfer models for the emission and backscatter, calculations were performed for three types of canopies, all at 1.5 GHz. The results lead to two major conclusions. First, the accepted presumption that vegetation cover reduces the soil-moisture sensitivity is not always true. Over certain ranges of the optical depth τ of the vegetation canopy and the roughness of the soil surface, vegetation cover can enhance, not reduce, the radar sensitivity to soil moisture. The second conclusion is that under most vegetation and soil-surface conditions, the radiometric and radar soil-moisture sensitivities decrease with increasing τ, and the rates are approximately the same for both sensors, suggesting that at least as far as vegetation effects are concerned, neither sensor can claim superiority over the other
  • Keywords
    backscatter; hydrological techniques; moisture measurement; radar cross-sections; radiometry; remote sensing; remote sensing by radar; soil; terrain mapping; 1.5 GHz; UHF; backscatter; calculation; hydrology; measurement technique; microwave emission; microwave radiometry; passive microwave method; radar remote sensing; radar scattering; radiative-transfer model; remote sensing; soil moisture; terrain mapping; vegetation cover; vegetation effect; Backscatter; Laser radar; Microwave radiometry; Moisture measurement; Optical scattering; Radar remote sensing; Radar scattering; Soil measurements; Soil moisture; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.823905
  • Filename
    823905