University of Coimbra, Department of Mathematics, Coimbra, Portugal; INESC Coimbra, Department of Electrical and Computer Engineering, Polo 2, 3030 - 290, Coimbra, Portugal.
INESC Coimbra, Department of Electrical and Computer Engineering, Polo 2, 3030 - 290, Coimbra, Portugal.
Environ Pollut. 2022 Dec 15;315:120370. doi: 10.1016/j.envpol.2022.120370. Epub 2022 Oct 7.
The abundance of beach litter has been increasing globally during the last decades, and it is an issue of global concern. A new survey strategy, based on uncrewed aerial vehicles (UAV, aka drones), has been recently adopted to improve the monitoring of beach macro-litter items abundance and distribution. This work identified and analysed the 15 studies that used drone for beach litter surveys on an operational basis. The analysis of technical parameters for drone flight deployment revealed that flight altitude varied between 5 and 40 m. The analysis of final assessments showed that, through manual and/or automated items detection on images, most of studies provided litter bulk characteristics (type, material and size), along with litter distribution maps. The potential standardization of drone-based litter survey would allow a comparison among surveys, however it seems difficult to propose a standard set of flight parameters, given the wide variety of coastal environments, the different devices available, and the diverse objectives of drone-based litter surveys. On the other hand, in our view, a set of common outcomes can be proposed, based on the grid mapping process, which can be easily generated following the procedure indicated in the paper. This work sets the ground for the development of a standardized protocol for drone litter data collection, analysis and assessments. This would allow the provision of broad scale comparative studies to support coastal management at both national and international scales.
在过去几十年中,全球海滩垃圾的数量一直在增加,这是一个全球性关注的问题。最近,一种新的基于无人飞行器(UAV,又名无人机)的调查策略被采用,以改善对海滩大型垃圾数量和分布的监测。本研究确定并分析了 15 项基于无人机进行海滩垃圾调查的研究。对无人机飞行部署的技术参数进行分析表明,飞行高度在 5 至 40 米之间变化。对最终评估的分析表明,通过对图像进行手动和/或自动的垃圾检测,大多数研究提供了垃圾的总体特征(类型、材料和大小)以及垃圾分布地图。基于无人机的垃圾调查的标准化将允许对调查进行比较,然而,由于沿海环境的多样性、可用的不同设备以及基于无人机的垃圾调查的不同目标,似乎难以提出一套标准的飞行参数。另一方面,我们认为,可以根据网格制图过程提出一套共同的结果,这可以根据本文中指出的程序轻松生成。这项工作为制定无人机垃圾数据收集、分析和评估的标准化协议奠定了基础。这将为在国家和国际范围内支持沿海管理提供大规模的比较研究。