Abstract
The visual survey is the commonest method to quantify and characterize beach litter. However, it is very labour intensive and difficult to carry out on beaches which are remote or difficult to access. We herein report an alternative approach for monitoring beach litter using an unmanned aerial vehicle (UAV), or aerial drone, with automated image requisition and automatic image processing. Litter of different sizes and colours, and made from different materials were placed randomly on four beaches. Images of beaches with different substrates were obtained by the drone at different heights and light conditions. Litter on the beaches was identified from the photos by untrained personnel with the highest accuracy of >90%. The quantification of beach litter was three times faster using the drone than visual census. This study indicates the potential of using the drone as a cost-effective and an efficient sampling method in routine beach litter monitoring programs.
| Original language | English |
|---|---|
| Title of host publication | 9th International Conference on Marine Pollution and Ecotoxicology |
| Subtitle of host publication | Programme and Abstracts |
| Place of Publication | Hong Kong |
| Publication status | Published - Jun 2019 |
| Event | 9th International Conference on Marine Pollution and Ecotoxicology (ICMPE-9) - University of Hong Kong, Hong Kong, China Duration: 10 Jun 2019 → 14 Jun 2019 https://www.icmpe.hku.hk/ https://www.icmpe.hku.hk/programme |
Conference
| Conference | 9th International Conference on Marine Pollution and Ecotoxicology (ICMPE-9) |
|---|---|
| Abbreviated title | ICMPE-9 |
| Place | Hong Kong, China |
| Period | 10/06/19 → 14/06/19 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
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