Coastal Research and Management Group, Leibniz Institute for Baltic Sea Research, Seestraße 15, 18119, Warnemünde, Germany.
Marine Research Institute of Klaipeda University, Universiteto ave. 17, 92294, Klaipeda, Lithuania.
Environ Monit Assess. 2022 Oct 11;194(12):863. doi: 10.1007/s10661-022-10519-5.
Although marine litter monitoring has increased over the years, the pollution of coastal waters is still understudied and there is a need for spatial and temporal data. Aerial (UAV) and underwater (ROV) drones have demonstrated their potential as monitoring tools at coastal sites; however, suitable conditions for use and cost-efficiency of the methods still need attention. This study tested UAVs and ROVs for the monitoring of floating, submerged, and seafloor items using artificial plastic plates and assessed the influence of water conditions (water transparency, color, depth, bottom substrate), item characteristics (color and size), and method settings (flight/dive height) on detection accuracy. A cost-efficiency analysis suggests that both UAV and ROV methods lie within the same cost and efficiency category as current on-boat observation and scuba diving methods and shall be considered for further testing in real scenarios for official marine litter monitoring methods.
尽管多年来海洋垃圾监测有所增加,但沿海水域的污染仍研究不足,需要时空数据。无人机 (UAV) 和水下机器人 (ROV) 已证明它们在沿海地区作为监测工具的潜力;然而,使用的合适条件和方法的成本效益仍需要关注。本研究使用人工塑料板测试了 UAV 和 ROV 对漂浮、淹没和海底物品的监测,并评估了水条件(水透明度、颜色、深度、底部基质)、物品特征(颜色和大小)以及方法设置(飞行/潜水高度)对检测精度的影响。成本效益分析表明,UAV 和 ROV 方法与船上观测和水肺潜水方法的成本和效率相同,应考虑将其用于实际场景中的正式海洋垃圾监测方法的进一步测试。