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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:从卫星高度,多光束和空气沐浴泳雷达近岸海岸线浴近岸海岸线准确性评价

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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:测深映射是使用舰载单光束,多光束,和侧扫声纳传感器传统上实现。采购使用附近的舰载传感器海岸线水深数据是困难的,但是,这种类型的数据是海上安全,海洋领土管理,气候变化监测和防灾重要。近年来,在水深光探测和测距(LIDAR)技术已经试图获得无缝的地理空间数据,从陆地到海底地形。本文使用千克/立方米通过重力地质法测定的5000调谐密度对比度估计水深产生的近海岸的精度从卫星测衍生重力异常和多波束测深。与使用来自两个多波束和机载激光雷达测深仅多波束的深度数据,78%根均方误差的预测地形比较在韩国西部的近岸海岸线的浅水得到改善。其结果是,从多波束和机载激光雷达测深估计出的卫星测深得到加强,以约0.2微米的精度。

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