• DocumentCode
    1488255
  • Title

    Improved Models of Soil Emission for Use in Remote Sensing of Soil Moisture

  • Author

    Goodberlet, Mark A. ; Mead, James B.

  • Author_Institution
    ProSensing Inc., Amherst, MA, USA
  • Volume
    50
  • Issue
    10
  • fYear
    2012
  • Firstpage
    3991
  • Lastpage
    3999
  • Abstract
    Microwave radiometer measurements of the Planck emission from soil can be used to estimate the near-surface soil moisture. A more straightforward and consistent model of this emission results if nonuniform, rather than uniform, plane waves are used. Adaptation of this new model to a layered medium representation for the soil is improved using a normalization that is based on the isothermal soil limit. The separate concepts of radiometer sensing depth and in situ sampling depth for soil moisture are examined and theory for the sensing depth is presented. Improved approximations (at 1413 MHz) to the full model for soil emission are developed since they are needed to construct algorithms that retrieve an estimate of soil moisture from the radiometer raw measurement. The error associated with the comparison of these remotely sense values against in situ measurements is calculated. Results suggest that this comparison error could be lowered if the soil moisture sampling depth was reduced to values less than 0.01 m from the currently used values near 0.02 m, although the effect of surface roughness has not yet been analyzed.
  • Keywords
    moisture; radiometry; remote sensing; soil; Planck emission; frequency 1413 MHz; isothermal soil limit; layered medium representation; microwave radiometer measurement; plane wave; radiometer sensing depth; remote sensing; sampling depth; soil emission model; soil moisture; Approximation methods; Isothermal processes; Microwave radiometry; Sensors; Soil measurements; Soil moisture; Electromagnetic propagation in absorbing media; microwave radiometry; passive microwave remote sensing; soil moisture;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2012.2189574
  • Filename
    6179521