Beached and Floating Litter Surveys by Unmanned Aerial Vehicles: Operational Analogies and Differences

• Autor(a) principal: Andriolo, Umberto
• Data de Publicação: 2022
• Outros Autores: Garcia-Garin, Odei, Vighi, Morgana, Borrell, Asunción, Gonçalves, Gil
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10316/103475; https://doi.org/10.3390/rs14061336
• topic: Plastics; Environmental Monitoring; Beach Pollution; Ocean Pollution; Machine Learning; Drone; Coastal Monitoring

The abundance of litter pollution in the marine environment has been increasing globally. Remote sensing techniques are valuable tools to advance knowledge on litter abundance, distribution and dynamics. Images collected by Unmanned Aerial Vehicles (UAV, aka drones) are highly efficient to map and monitor local beached (BL) and floating (FL) marine litter items. In this work, the operational insights to carry out both BL and FL surveys using UAVs are detailly described. In particular, flight planning and deployment, along with image products processing and analysis, are reported and compared. Furthermore, analogies and differences between UAV-based BL and FL mapping are discussed, with focus on the challenges related to BL and FL item detection and recognition. Given the efficiency of UAV to map BL and FL, this remote sensing technique can replace traditional methods for litter monitoring, further improving the knowledge of marine litter dynamics in the marine environment. This communication aims at helping researchers in planning and performing optimized drone-based BL and FL surveys.