There is a strong linkage between river morphology and river floods. Hence, this study focuses on detecting changes in the shoreline of the Nhat Le river mouth by using a series of optical satellite images (Landsat and Sentinel-2). For achieving our study goal, we applied shoreline interpretation technology by performing models integrated in DSAS software provided by United States Geological Survey added in the ArGIS platform. Inside the models, image indies, water thresholds and spatial analyses have been implemented to evaluate shoreline changes. The shoreline variations were assessed by calculating its changing rates driven by erosion and accretion processes in each 5-year periods from 2010 to 2020. The changing rates were quantified using three functional statistical parameters in DSAS, which are the evaluation of end point rate (EPR), Net Shoreline Movement (NSM), and Linear Regression Rate (LRR) statistics that indicated the variability of Nhat Le river mouth during the study period. Thereby, the advantages and the reliability of the study method were revealed and able to support the assessment of shorelines changes in terms of time and cost efficiency.