| Literature DB >> 32056615 |
Hoi-Shing Lo1, Leung-Chun Wong1, Shu-Hin Kwok1, Yan-Kin Lee1, Beverly Hoi-Ki Po2, Chun-Yuen Wong1, Nora Fung-Yee Tam1, Siu-Gin Cheung3.
Abstract
The visual survey is the most common method to quantify and characterize beach litter. However, it is very labor intensive and difficult to carry out on beaches which are remote or difficult to access. We suggest an alternative approach for assessing beach litter using an unmanned aerial vehicle (UAV), or aerial drone, with automated image requisition and processing. Litter of different sizes, colours, and materials were placed randomly on two beaches. Images of beaches with different substrates were obtained by the drone at different operating heights and light conditions and litter on the beaches was identified from the photos by untrained personnel. The quantification of beach litter using the drone was three times faster than that by visual census. This study has demonstrated the potential of using the drone as a cost-effective and an efficient sampling method in routine beach litter monitoring programs.Keywords: Beach litter assessment; Drone
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Year: 2020 PMID: 32056615 DOI: 10.1016/j.marpolbul.2019.110823
Source DB: PubMed Journal: Mar Pollut Bull ISSN: 0025-326X Impact factor: 5.553