• DocumentCode
    143231
  • Title

    Comparison of microwave brightness temperature simulated in croplands using L-MEB model in Hiwater with Polarimetric L-band multibeam radiometer

  • Author

    Shuang Yan ; Lingmei Jiang ; Xinxin Li ; Juntao Yang

  • Author_Institution
    Res. Center for Remote Sensing & GIS, Beijing Normal Univ., Beijing, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1951
  • Lastpage
    1954
  • Abstract
    The microwave signal at L-band is very sensitive to the soil moisture due to its penetrability. To analyze an algorithm to retrieve soil moisture at L-band, a simulation of microwave brightness temperature is conducted by using the τ-ω model in this study, and two methods of resampling are compared. One of the brightness temperature simulation is based on the point observation on ground, and the other is from the ground observation data of 1km resolution resampled from point. It turns out the latter method has a smaller error. An airborne L-band data from a Polarimetric L-band Microwave Radiometer (PLMR) acquired during the Hiwater experiment held in the Heihe River Basin in 2012 are used to validate the brightness temperature simulation. And the root-mean-square errors between L-MEB simulated and PLMR are 9K to 12K for V-polarization, and 6K to 8K at H-polarization respectively at different angles.
  • Keywords
    hydrological techniques; radiometers; rivers; soil; AD 2012; H-polarization; Heihe river basin; L-MEB model; L-band microwave signal; V-polarization; airborne L-band data; croplands; ground observation data; hiwater; microwave brightness temperature; polarimetric L-band microwave radiometer; polarimetric L-band multibeam radiometer; root-mean-square errors; soil moisture; tau-omega model; Brightness temperature; L-band; Microwave radiometry; Remote sensing; Soil moisture; Vegetation mapping; τ-ω model; Hiwater; Microwave brightness temperature; PLMR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946842
  • Filename
    6946842