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Using UAV Photogrammetry to Analyse Changes in the Coastal Zone Based on the Sopot Tombolo (Salient) Measurement Project

机译:使用UAV摄影测量法根据Sopot Tombolo(突出)测量项目分析沿海区域的变化

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摘要

The main factors influencing the shape of the beach, shoreline and seabed include undulation, wind and coastal currents. These phenomena cause continuous and multidimensional changes in the shape of the seabed and the Earth’s surface, and when they occur in an area of intense human activity, they should be constantly monitored. In 2018 and 2019, several measurement campaigns took place in the littoral zone in Sopot, related to the intensive uplift of the seabed and beach caused by the tombolo phenomenon. In this research, a unique combination of bathymetric data obtained from an unmanned surface vessel, photogrammetric data obtained from unmanned aerial vehicles and ground laser scanning were used, along with geodetic data from precision measurements with receivers of global satellite navigation systems. This paper comprehensively presents photogrammetric measurements made from unmanned aerial vehicles during these campaigns. It describes in detail the problems in reconstruction within the water areas, analyses the accuracy of various photogrammetric measurement techniques, proposes a statistical method of data filtration and presents the changes that occurred within the studies area. The work ends with an interpretation of the causes of changes in the land part of the littoral zone and a summary of the obtained results.
机译:影响海滩形状,海岸线和海底的主要因素包括波动,风和沿海电流。这些现象导致海底和地球表面形状的连续和多维变化,当它们发生在激烈的人类活动区域时,应不断监测它们。 2018年和2019年,索波特的众多测量活动发生在索波特的滨海区,与Tombolo现象引起的海底和海滩密集隆起有关。在该研究中,使用从无人面的表面容器获得的碱基数据,从无人驾驶飞行器和地面激光扫描获得的摄影测量数据的独特组合,以及来自全球卫星导航系统的接收器的精密测量的大地测量。本文全面地展示了在这些竞选期间由无人驾驶飞行器制成的摄影测量测量。详细介绍了水域内重建中的问题,分析了各种摄影测量技术的准确性,提出了一种数据过滤的统计方法,并提出了研究区域内发生的变化。工作结束,以解释沿海地区的土地部分的变化的原因和所得结果的概要。

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