• DocumentCode
    1366431
  • Title

    A Parameterized Surface Emission Model at L-Band for Soil Moisture Retrieval

  • Author

    Chen, Liang ; Shi, Jiancheng ; Wigneron, Jean-Pierre ; Chen, Kun-Shan

  • Author_Institution
    Chinese Acad. of Sci., Beijing, China
  • Volume
    7
  • Issue
    1
  • fYear
    2010
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    The effects of soil surface roughness play a significant role in the microwave emission from the surface. Therefore, a good parameterization of the effects is a prerequisite for retrieving surface soil moisture information. With recent physical model developments, the advanced integral equation model (AIEM) has been proven to provide accurate representation over a wide range of surface-roughness conditions. We evaluated the capability of the AIEM model in simulating multiangular surface emission signals in comparison with a field experiment data set. A simplified multiangular surface emission model was developed based on simulated database using the AIEM model. Based on the parameterized model, an inversion procedure was developed using dual-polarization microwave brightness temperatures to retrieve soil moisture. Two data sets were used to test the inversion algorithm, and the accuracies in root-mean-square error were about 4% for incidence angles from 20?? to 50??. This new simple model is suitable for soil moisture retrieval from future L-band satellite data.
  • Keywords
    brightness; hydrological techniques; microwave imaging; moisture; soil; AIEM; L-band; advanced integral equation model; dual-polarization microwave brightness temperatures; parameterized surface emission model; simplified multiangular surface emission model; soil moisture retrieval; soil surface roughness; surface microwave emission; L-band; Soil Moisture and Ocean Salinity (SMOS); multiangular; surface roughness;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2009.2028443
  • Filename
    5235098