This study introduced a new approach for coastal erosion and sedimentation monitoring. In doing so, the airbone topographic synthetic aperture radar (TOPSAR) polarized data is used with the conventional techniques of mapping shoreline rate changes, which is based on the estimation of historical vector layers. The main problem for shoreline identification is raised up due to speckles impact. Therefore, the speckle reductions are performed by using an adaptive filter algorithm to identify the coastline edge morphology. In this context, Lee algorithm, combination of linear contrast, Gaussian and histogram equalization enhancement is used. Thus the manual vector layer digitizing is applied to extract the coastline for the different polarized bands. Further, the accuracy assement is determined based on the statistical analysis of T-test. Indeed, T-test is used to determine the significant distinction between the TOPSAR different polarized bands. For more precisely, SPOT satellite data are used with near real time in situ measurements to determine appropriate band for shoreline change estimation. The results show that the C vv band is performed better than other bands with root mean square error of ± 0.9 m and r 2 of 0.73. This confirms with T-test in which there is a major difference between C and L bands
