• DocumentCode
    15262
  • Title

    A Model of Surface Roughness for Use in Passive Remote Sensing of Bare Soil Moisture

  • Author

    Goodberlet, Mark A. ; Mead, James B.

  • Author_Institution
    ProSensing, Inc., Amherst, MA, USA
  • Volume
    52
  • Issue
    9
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    5498
  • Lastpage
    5505
  • Abstract
    Spaceborne radiometers operating near 1.4 GHz are the primary instrument for recent efforts to remotely sense nearsurface soil moisture around the globe. Generally, these instruments must contend with the effects of vegetation growing in the soil. However, an important first step is to model the measurements made by a radiometer that is viewing bare (vegetation-free) soil. The proposed model uses a matching layer and a random depolarizer to describe bare soil surface roughness and some aspects of antenna beamwidth. The model suggests that the effects of nearsurface soil moisture and roughness upon the radiometer measurement are more distinct than is currently thought. Furthermore, it appears that both moisture and roughness can be retrieved from a single set of radiometer measurements made at orthogonal linear polarizations. This retrieval precision is predicted to be poor at soil observation angles near nadir but improves for larger angles. At observation angles near 50°, the vertically polarized radiometer measurements are predicted to be nearly insensitive to roughness. A convenient parameterization of the model is provided and permits quick implementation.
  • Keywords
    hydrological techniques; moisture; remote sensing; soil; vegetation; antenna beamwidth; bare soil moisture; near-surface soil moisture; orthogonal linear polarizations; passive remote sensing; spaceborne radiometers; surface roughness model; vegetation effects; vertically polarized radiometer measurements; Moisture; Radiometers; Rough surfaces; Sea measurements; Soil; Soil measurements; Surface roughness; Microwave radiometry; moisture measurement; polarization; soil measurements;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2289979
  • Filename
    6679257