ABSTRACT
Crowdsourced bathymetry is a technique proposed and promoted by the International Hydrographic Organization (IHO) for the collection and sharing of depth measurements from vessels using standard navigation instruments. It is primarily utilized to gather bathymetric data in unsurveyed coastal waters and to establish a reference for safe ship navigation. With the advancement of communication technology and bathymetry automation processing, the concept of utilizing crowdsourced bathymetry to monitor crucial areas is becoming feasible. This paper introduces a system designed and developed based on traditional crowdsourced bathymetry technology, 4G network communication, and bathymetry automatic processing. The system is capable of acquiring water depth in quasi-real time, featuring a data collector for real-time storage and transmission, along with bathymetry filtration, correction, and processing procedures. The processed bathymetry identifies shallow points by comparing with historical data and issues timely warnings for shallow areas. This system complements traditional hydrographic surveys, addressing their long bathymetry cycle and slow data updates, and offers a new perspective for crowdsourced bathymetry technology development
