• DocumentCode
    2136862
  • Title

    A soil moisture retrieval method for AMSR-E

  • Author

    Zhang, Zhongjun ; Shi, Jiancheng ; Zhu, Ying

  • Author_Institution
    Res. Center for Remote Sensing & CIS, Beijing Normal Univ., China
  • Volume
    4
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    2803
  • Abstract
    For vegetated surfaces, the commonly used soil moisture (SM) retrieval algorithm is a zero-order model which might not be the best one for AMSR-E, since multiple scattering effects could not be ignored at higher frequencies. But due to the simplicity of the zero-order model, it still has the advantage in SM retrieval, except emission relationship between different frequencies of AMSR-E of both bare surface and vegetation exist. In this paper, a new method to retrieve SM for AMSR-E more accurately is proposed based on an emission simulation of a bare surface at C-, X- and Ku-band. The unknown variables elimination in retrieval is by finding the relationships of single scattering albedo (and optical opacity) of vegetation scatter between the same frequency ranges.
  • Keywords
    albedo; backscatter; data acquisition; hydrological techniques; microwave measurement; moisture measurement; soil; vegetation mapping; AMSR-E; Advanced Microwave Scanning Radiometer - EOS; C-band; Ku-band; X-band; emission simulation; multiple scattering effects; optical opacity; single scattering albedo; soil moisture retrieval method; vegetated surface; vegetation scatter; zero-order model; Frequency measurement; Information retrieval; Optical scattering; Polarization; Remote sensing; Rough surfaces; Samarium; Soil moisture; Surface roughness; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369885
  • Filename
    1369885