Coastal ecosystems are exposed to anthropogenic pressures worldwide. Seagrass are sensitive to human activities, especially through physical stress. Among them, boats induce many pressures including physical degradation through anchoring. Mapping the anchoring pressure of large boats (≥ 24 m) can be done with traditional methods but is still challenging for smaller boats. Thus, the impact of large boats on coastal ecosystems is better documented and more efficiently regulated in comparison with small ones. Here, we characterize the pressure and the impact of boats anchoring on Posidonia oceanica seagrass beds through the proxy of three landscape indices and compare anchoring surveillance methods. We show that small boats also have an impact on P. oceanica when anchoring. AIS (Automatic identification System) and low resolution satellite imagery are poorly adapted to detect small boats anchoring. High resolution satellite imagery is a very efficient tool suitable even for small boats detection, but is for now limited to punctual surveys due to its high costs. We propose an automatic detection/localization tool adapted to multisource imagery and test it successfully on a case study in Corsica (France). Overall our study provides key quantified elements for the design of future efficient surveillance and management of anchoring pressure.