• DocumentCode
    126336
  • Title

    A potential soil moisture product from the HY-2 scanning microwave radiometer

  • Author

    Tianjie Zhao ; Jiancheng Shi ; Mingsen Lin

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The Chinese HY-2, a satellite designed for ocean dynamic environment monitoring, was launched on August 16, 2011. The onboard scanning microwave radiometer (RM) is primarily designed for the sea surface temperature and wind speed mapping. However, our objective of this investigation is to exploit the large amount of land observations of RM and extend the mission scope to the retrieval of surface soil moisture. The single channel algorithm (SCA) was selected and implemented using only RM observed brightness temperature to estimate surface soil moisture. Ancillary data of vegetation index climatology was used as inputs for the SCA to calculate the vegetation water content, which is a required parameter for vegetation effects correction. The retrieved soil moisture agree in the global pattern of wet and dry regions. Initial assessments were performed using soil moisture measurements by in situ underground sensors over selected networks. Results showed good performance of soil moisture estimation for these land surface conditions for the year of 2012.
  • Keywords
    artificial satellites; moisture; radiometers; soil; vegetation mapping; HY-2 scanning microwave radiometer; ocean dynamic environment monitoring; sea surface temperature; single channel algorithm; soil moisture estimation; surface soil moisture; vegetation index climatology; vegetation water content; wind speed mapping; Land surface; Land surface temperature; Microwave radiometry; Satellites; Soil moisture; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929702
  • Filename
    6929702