

FOLLOWUS
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
chenzhongbiao@nuist.edu.cn
Received:09 February 2026,
Online First:17 September 2026,
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ZHENG Peng,CHEN Zhongbiao,SUN Runxia,et al.A coherent two-interface scattering model for Bohai Sea ice observed by C-band SAR[J].Journal of Oceanology and Limnology,
ZHENG Peng,CHEN Zhongbiao,SUN Runxia,et al.A coherent two-interface scattering model for Bohai Sea ice observed by C-band SAR[J].Journal of Oceanology and Limnology, DOI:.
The Bohai Sea
China’s only seasonally ice-covered sea
exhibits complex backscattering signatures in C-band Synthetic Aperture Radar (SAR) observations
particularly in nearshore areas influenced by high concentrations of suspended sediments. Using Sentinel-1 C-band Vertical-Vertical (VV)-polarized data
this study investigates the regional-scale incidence-angle-dependent scattering behavior of seasonal sea ice in the nearshore Huanghe (Yellow) River estuary. A first-order Small Perturbation Method (SPM) is employed to construct an electromagnetic scattering model for finite thickness layered sea ice
representing the ice cover as a three-layer air-ice-seawater medium with two rough scattering interfaces. The model explicitly accounts for scattering contributions from the air-ice interface
the ice-se
awater interface attenuated by propagation through the ice layer
and their coherent coupling effects
while the dielectric properties of sediment-laden sea ice are described using the De Loor model combined with effective medium theory. Incidence-angle-conditioned regional mean normalized radar cross section (NRCS) is derived through statistical averaging to characterize stable scattering behavior under realistic SAR observation conditions. Comparison between modeled and Sentinel-1 observed NRCS demonstrates that the proposed coherent layered scattering framework successfully reproduces the dominant incidence-angle-dependent behavior of VV-polarized C-band NRCS at the statistical level
with validation results mainly concentrated around a global correlation coefficient (
R
) of 0.71 and the root mean square error (RMSE) of approximately 0.9 dB. Tile-wise analysis reveals multiple angular-response types
including increasing
decreasing
convex
concave
and weakly varying responses
indicating that the observed NRCS cannot be reduced to a single monotonic angular trend. Model comparison further shows that explicitly separating the upper and lower interface contributions and including their coherent cross term improves the reproduction of the observed VV NRCS-incidence angle response. Forward sensitivity experiments show that sediment volume fraction mainly changes the NRCS amplitude while largely preserving the angular-response type. These results provide a physically consistent basis for interpreting regional-scale SAR backscattering behavior of sediment-influenced seasonal sea ice in complex nearshore environments.
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