Small unmanned aerial systems comparative analysis for the application to coastal erosion monitoring

GeoResJ Pub Date : 2017-06-01 DOI:10.1016/j.grj.2017.05.001
A. Clark
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引用次数: 10

Abstract

The low operating cost and flexibility of sUAS enables repeated surveys of study sites to monitor annual coastal changes and investigate the impacts of individual storms. The majority of damage along the coast of Prince Edward Island occurs during storm events which are expected to increase in frequency and severity and presents one of the biggest challenges faced by residents due to climate change. This study completes a comparative analysis between a fixed wing and quadcopter unmanned aerial system. The impact of using ground control points during image processing resulted in an average image marker to ground control point coordinates difference of 0.1 m and 0.03 m for the fixed wing and quadcopter respectively. Coastal delineation from orthomosaics compared to a ground truth coastal trace using survey grade GPS resulted in an average difference of 0.25 m and 0.21 m for the fixed wing and quadcopter systems respectively. Elevation comparison of the resulting digital surface models to a ground truth GPS survey resulted in -0.117 m average difference for the fixed wing and 0.0224 m average difference for the quadcopter. Furthermore, consideration of cost, time, and ambient factors are addressed. Finally, sUAS technology is seen to have the potential to revolutionize the field of environmental monitoring in low capacity regions, building local knowledge capital for better planning and adapting to the impacts of climate change.

小型无人机系统在海岸侵蚀监测中的应用对比分析
sUAS的低运行成本和灵活性使其能够对研究地点进行重复调查,以监测年度沿海变化并调查单个风暴的影响。爱德华王子岛沿岸的大部分破坏发生在风暴事件期间,预计风暴事件的频率和严重程度将增加,并成为气候变化导致居民面临的最大挑战之一。本研究完成了固定翼和四轴飞行器无人机系统的比较分析。在图像处理过程中使用地面控制点的影响导致固定翼和四轴飞行器图像标记点与地面控制点的平均坐标差分别为0.1 m和0.03 m。与使用测量级GPS的地面真实海岸轨迹相比,固定翼和四轴飞行器系统的海岸线描绘平均差异分别为0.25米和0.21米。将所得的数字地面模型与地面真实GPS测量进行高程比较,固定翼飞机的平均差值为-0.117 m,四轴飞行器的平均差值为0.0224 m。此外,还考虑了成本、时间和环境因素。最后,sUAS技术被认为有可能彻底改变低能力地区的环境监测领域,为更好的规划和适应气候变化的影响建立当地知识资本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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