• DocumentCode
    783379
  • Title

    Improved Understanding of Soil Surface Roughness Parameterization for L-Band Passive Microwave Soil Moisture Retrieval

  • Author

    Panciera, Rocco ; Walker, Jeffrey P. ; Merlin, Olivier

  • Author_Institution
    Civil & Environ. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • Volume
    6
  • Issue
    4
  • fYear
    2009
  • Firstpage
    625
  • Lastpage
    629
  • Abstract
    Surface roughness parameterization plays an important role in soil moisture retrieval from passive microwave observations. This letter investigates the parameterization of surface roughness in the retrieval algorithm adopted by the Soil Moisture and Ocean Salinity mission, making use of experimental airborne and ground data from the National Airborne Field Experiment held in Australia in 2005. The surface roughness parameter is retrieved from high-resolution (60 m) airborne data in different soil moisture conditions, using the ground soil moisture as input of the model. The effect of surface roughness on the emitted signal is found to change with the soil moisture conditions with a law different from that proposed in previous studies. The magnitude of this change is found to be related to soil textural properties: in clay soils, the effect of surface roughness is higher in intermediate wetness conditions (0.2-0.3 v/v) and decreases on both the dry and wet ends. Consequently, this letter calls for a rethink of surface roughness parameterization in microwave emission modeling.
  • Keywords
    hydrological techniques; moisture; remote sensing by radar; soil; AD 2005; Australia; L-band passive microwave remote sensing; National Airborne Field Experiment; Soil Moisture and Ocean Salinity mission; clay soil; ground soil moisture; microwave emission modeling; soil moisture retrieval algorithm; soil surface roughness parameterisation; soil textural properties; Microwave radiometry; National Airborne Field Experiments (NAFE); Soil Moisture and Ocean Salinity (SMOS); soil moisture; surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2009.2013369
  • Filename
    4895217