National Research Center for Disaster-free and Safety Ocean City Construction, Dong-a University, Busan 49315, Korea.
Department of Architectural Engineering, Dong-a University, Busan 49315, Korea.
Sensors (Basel). 2018 Sep 3;18(9):2926. doi: 10.3390/s18092926.
Bathymetric mapping is traditionally implemented using shipborne single-beam, multi-beam, and side-scan sonar sensors. Procuring bathymetric data near coastlines using shipborne sensors is difficult, however, this type of data is important for maritime safety, marine territory management, climate change monitoring, and disaster preparedness. In recent years, the bathymetric light detection and ranging (LiDAR) technique has been tried to get seamless geospatial data from land to submarine topography. This paper evaluated the accuracy of bathymetry generated near coastlines from satellite altimetry-derived gravity anomalies and multi-beam bathymetry using a tuning density contrast of 5000 kg/m³ determined by the gravity-geologic method. Comparing with the predicted bathymetry of using only multi-beam depth data, 78% root mean square error from both multi-beam and airborne bathymetric LiDAR was improved in shallow waters of nearshore coastlines of the western Korea. As a result, the satellite-derived bathymetry estimated from the multi-beam and the airborne bathymetric LiDAR was enhanced to the accuracy of about 0.2 m.
传统上，水深测绘是通过船载单波束、多波束和侧扫声纳传感器来实现的。然而，使用船载传感器在近岸地区获取水深数据是困难的，因为这种数据对于海上安全、海洋领土管理、气候变化监测和灾害准备非常重要。近年来，水深光探测和测距 (LiDAR) 技术已被尝试用于从陆地到海底地形获取无缝的地理空间数据。本文通过重力地质法确定的 5000kg/m³ 的调谐密度对比，评估了利用卫星测高衍生重力异常和多波束水深测量生成近岸水深的精度。与仅使用多波束深度数据预测的水深相比，在韩国西部近岸海域的浅水区，来自多波束和机载水深 LiDAR 的均方根误差提高了 78%。因此，通过多波束和机载水深 LiDAR 从卫星获取的水深估计提高到了约 0.2m 的精度。
