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Surfzone monitoring using rotary wing unmanned aerial vehicles

机译:使用旋翼无人机进行冲浪区监视

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摘要

This study investigates the potential of rotary wing unmanned aerial vehicles (UAVs) to monitor the surfzone. This paper shows that these UAVs are extremely flexible surveying platforms that can gather nearcontinuous moderate spatial resolution and high temporal resolution imagery from a fixed position high above a study site. The rotary wing UAVs used in this study can fly for ;12 min with a mean loiter radius of 1–3.5m and a mean loiter error of 0.75–4.5 m. These numbers depend on the environmental conditions, flying style, battery type, and vehicle type. The images obtained from the UAVs, and in combination with surveyed ground control points (GCPs), can be georectified to a pixel resolution between 0.01 and 1m, and a reprojection error—that is, the difference between the surveyed GPS location of a GCP and the location of the GCP obtained from the georectified image—of O(1 m). The flexibility of rotary wing UAVs provides moderate spatial resolution and high temporal resolution imagery, which are highly suitable to quickly obtain surfzone and beach characteristics in response to storms or for day-to-day beach safety information, as well as scientific pursuits of surfzone kinematics on different spatial and temporal scales, and dispersion and advection estimates of pollutants.
机译:这项研究调查了旋转翼无人飞行器(UAV)监视海浪区的潜力。本文表明,这些无人机是非常灵活的测量平台,可以从研究地点上方的固定位置收集近乎连续的中等空间分辨率和高时间分辨率图像。本研究中使用的旋翼无人机可以飞行12分钟,平均游荡半径为1-3.5m,平均游荡误差为0.75-4.5m。这些数字取决于环境条件,飞行方式,电池类型和车辆类型。从无人机获得的图像可以与被测地面控制点(GCP)结合使用,进行地理校正,使其像素分辨率在0.01到1m之间,并且可以进行重投影误差-即,被测GCP的GPS位置与从地理校正图像获得的GCP的位置-O(1 m)。旋翼无人机的灵活性提供了适度的空间分辨率和高时间分辨率的图像,非常适合于快速获得海浪和海滩特征,以应对暴风雨或用于日常海滩安全信息以及对海浪运动学的科学追求在不同的时空尺度上,以及污染物的扩散和对流估计。

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