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    曾江源等:Radar Response of Off-Specular Bistatic Scattering to Soil Moisture and Surface Roughness at L-Band

    作者:来源:发布时间:2017-02-22
     Radar Response of Off-Specular Bistatic Scattering to Soil Moisture and Surface Roughness at L-Band
    作者:Zeng, JY (Zeng, Jiangyuan)[ 1 ] ; Chen, KS (Chen, Kun-Shan)[ 1 ] ; Bi, HY (Bi, Haiyun)[ 2 ] ; Chen, Q (Chen, Quan)[ 3 ] ; Yang, XF (Yang, Xiaofeng)[ 1 ]
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
    卷: 13  期: 12  页: 1945-1949
    DOI: 10.1109/LGRS.2016.2618884
    出版年: DEC 2016
    摘要
    This letter investigates the bistatic radar response of soil moisture and surface roughness of bare soil surfaces at L-band using the advanced integral equation model (AIEM). It focuses on the use of bistatic geometries away from the specular region. To better explore the potential of bistatic scattering for soil moisture sensing, both polarized and angular scattering coefficients, and their combinations, are evaluated using a defined sensitivity index. The results show that sensitivity is enhanced in a bistatic mode compared with the monostatic case. Using a combination of dual polarized and angular data suppresses an undesired impact of the surface correlation function. Moreover, the forward region is preferred to soil moisture sensing regardless of the surface correlation function. Among the combinations investigated, the dual angular observation reduces the influence of surface roughness, preserves a good sensitivity to soil moisture response, and thus seems to be a good candidate for soil moisture sensing in bistatic configuration.
    通讯作者地址: Zeng, JY (通讯作者)
    Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
    地址:
    [ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
    [ 2 ] China Earthquake Adm, State Key Lab Earthquake Dynam, Inst Geol, Beijing 100029, Peoples R China
    [ 3 ] Chinese Acad Sci, Airborne Remote Sensing Ctr, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
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