Sandy beaches play an important role for economic and recreational activities as well as for coastal protection. Storm impact and recovery involve complex dynamic processes from short to longer-term. These result in a broad range of morphological change which can be assessed from remote sensing such as airborne LiDAR (Light Detecting and Ranging) system. This study monitors the response and recovery of a sandy multi-barred beach after a severe storm. A new algorithm for automated bar extraction developed in Python is applied to the digital surface models of pre-, immediately after storm and 2 months after the event. The severe storm from 8-12/02/2020 caused erosion of the backshore and dunefoot as well as a significant re-arrangement of the intertidal bar-through system. The findings are of critical importance in improving our knowledge as well as forecasting coastal evolution and future hazards.