Inversion of ocean wave spectra from SAR imagery in Beibu Gulf

摘要

This paper presents retrieving the ocean wave parameters in shallow water area of the South China Sea from ERS-2 imagery. Based on the MPI (Max-Planck Institute) algorithm, the proposed method uses the TMA (Texel-Marsen-Arsloe) model, which used for description of the ocean wave spectra in shallow water, as the first-guess spectra to estimate the ocean wave parameters. The model is extended and developed through adding the factor of water depth. The ERS-2 images in South China Sea are selected as the experimental data. The data of ECMWF is used to verify the peak wavelength and SWH (significant wave height) retrieved by the proposed method. The results show the RMSE (Root Mean Square Error) of peak wavelength and SWH are 14.19 m and 0.13 m, respectively; the mean bias of peak wavelength and SWH are 11.30 m and 0.02 m, respectively. The analyzed results discover that the ocean wave spectrum parameters retrieved by the proposed method are consistent with the corresponding parameters from ECMWF in shallow water, and the developed model can effectively response the effects of coastal shoaling because of the varying bathymetry to the surface wave propagation.