Internal wave detection and wavelength estimation

Remote sensing techniques are recognized as the potential of using remotely sensed data for studying oceanic internal waves. TOPSAR polarised data are able to map internal waves because TOPSAR polarised data are sensitive to changes in the small-scale surface roughness. The aim of this study is to model internal wave speed, direction and wavelength. In this study, the utility of wavelet analysis is examined using two-dimensional (2-D) wavelet transform for internal wave detection and wavelength estimation. The continuous wavelet transforms is also used to estimate energies and wavelengths within soliton peaks from the detect internal wave. The Doppler radar was used to estimate the speed of the internal wave. The results obtained from TOPSAR polarised data are similar to isothermal profile. It can be concluded that the integration between the wavelet transform and Doppler model is an excellent tool to detect internal wave. The polarised L-band is more suitable for detection of internal waves compared to C-band. The isothermal profile of the internal wave suggested that the irregular bottom topography and tidal flow are a main reason for generating internal waves in the South China Sea