0
Article Tier 2 Policy & Risk Sign in to save

Fundamental Study on Monitoring Microplastic Deposition in Sanbanze Using UAV

AI summary Read the abstract

This IAHR-affiliated study conducted a fundamental investigation of using unmanned aerial vehicles (UAVs) for monitoring microplastic deposition in Sanbanze tidal flat in Japan, exploring the feasibility of drone-based remote sensing for mapping plastic accumulation in coastal environments. Drone-based monitoring offers a scalable approach to tracking microplastic hotspots in tidal and shallow coastal habitats.

The International Association for Hydro-Environment Engineering and Research (IAHR), founded in 1935, is a worldwide independent organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application.

More Papers Like This

Article Tier 2

UAV Approach for Detecting Plastic Marine Debris on the Beach: A Case Study in the Po River Delta (Italy)

AI summary Read the abstract

UAV imaging was used to detect and map anthropogenic marine debris on beaches in the Po River Delta, Italy, testing different image processing strategies and demonstrating that centimeter-scale spatial resolution UAV surveys can efficiently locate macroplastics before they degrade into harder-to-remove microplastics.

Article Tier 2

Unmanned Aerial Vehicles for Debris Survey in Coastal Areas: Long-Term Monitoring Programme to Study Spatial and Temporal Accumulation of the Dynamics of Beached Marine Litter

AI summary Read the abstract

Researchers used UAVs to acquire georeferenced RGB images over a ten-month monitoring programme at a protected marine area near Pisa, Italy, to characterize the spatial and temporal distribution of beached marine debris. Post-processing via visual interpretation allowed localization and identification of anthropogenic debris accumulation patterns, demonstrating UAV-based surveying as an effective low-impact approach for long-term coastal litter monitoring.

Article Tier 2

Design and Validation of an Eco-Compatible Autonomous Drone for Microplastic Monitoring in Port Environments

AI summary Read the abstract

Researchers designed and tested an autonomous drone system for monitoring microplastic pollution in port environments, where plastic tends to accumulate in semi-enclosed waters. The drone collected water surface samples and transmitted data in real time, demonstrating a practical tool for high-frequency environmental monitoring in busy maritime settings.

Article Tier 2

Object Detection of Macroplastic Waste Using Unmanned Aerial Vehicles in Urban Canal

AI summary Read the abstract

Researchers developed and tested an unmanned aerial vehicle-based system for detecting macroplastic waste along riverbanks and beaches using object detection algorithms. The system achieved reliable detection performance and offers a scalable tool for large-area plastic litter surveys.

Article Tier 2

An Estimation Method of Coastal Ocean Debris Using Aerial Drone

AI summary Read the abstract

This study developed a drone-based aerial estimation method for detecting and quantifying coastal ocean debris, including plastic litter. The approach used aerial imagery analysis to address limitations of traditional survey methods for large-scale marine litter assessment.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper