With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …

With the booming development of information technology and the growing demand for
remote sensing data, unmanned aerial vehicle (UAV) remote sensing technology has …

Abstract Currently, 60–80% of litter is plastic, and almost 10% ends up in the ocean directly
or indirectly. Plastics often suffer from photooxidation producing microplastics and these …

A central challenge in microplastics (MP, diameter< 5 mm) research is the analysis of small
plastic particles in an efficient manner. This review focuses on the recent application of …

The paper discusses the experience of using unmanned aerial vehicles (UAV) in the
management of municipal solid waste landfills and dumpsites. Although the use of drones at …

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 …

Detection and identification of macroplastic debris in aquatic environments is crucial to
understand and counter the growing emergence and current developments in distribution …

Large quantities of mismanaged plastic waste are polluting and threatening the health of the
blue planet. As such, vast amounts of this plastic waste found in the oceans originates from …

While at least 8 million tons of plastic litter are ending up in our oceans every year and
research on marine litter detection is increasing, the spectral properties of wet as well as …

This baseline reports scientific evidence of marine litter items embedded in the dune volume
at two study sites on the North Atlantic Portuguese coast. We described how stranded litter …