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Evaluation of the Accuracy of Bathymetry on the Nearshore Coastlines of Western Korea from Satellite Altimetry Multi-Beam and Airborne Bathymetric LiDAR

机译:从卫星测高仪多波束和机载测深仪LiDAR评估朝鲜西部近岸海岸线的测深仪精度

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摘要

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.
机译:传统上,测深图映射是使用船载单波束,多波束和侧面扫描声纳传感器实现的。使用船载传感器获取海岸线附近的测深数据很困难,但是,这种类型的数据对于海上安全,海洋领地管理,气候变化监测和备灾至关重要。近年来,已经尝试使用测深光检测和测距(LiDAR)技术来获取从陆地到海底地形的无缝地理空间数据。本文利用重力地质方法确定的5000 kg / m 3 调谐密度对比评估了卫星测高衍生的重力异常和多波束测深法在海岸线附近产生的测深法的准确性。与仅使用多波束深度数据的预测测深法相比,在韩国西部近岸海岸线的浅水域,多波束和机载测深LiDAR的均方根误差均提高了78%。结果,从多波束和机载测深仪LiDAR估算的卫星衍生测深仪的精度提高到约0.2 m。

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