Using artificial intelligence to support marine macrolitter research: a content analysis and an online database

DV Politikos, A Adamopoulou, G Petasis… - Ocean & Coastal …, 2023 - Elsevier
Marine scientists use a variety of collection and monitoring methods to survey macrolitter in
aquatic environments, aiming to assess the level of pollution and design mitigation actions …

[HTML][HTML] Detecting marine pollutants and sea surface features with deep learning in sentinel-2 imagery

K Kikaki, I Kakogeorgiou, I Hoteit… - ISPRS Journal of …, 2024 - Elsevier
Despite the significant negative impact of marine pollution on the ecosystem and humans, its
automated detection and tracking from the broadly available satellite data is still a major …

[HTML][HTML] Sentinel-2 detection of floating marine litter targets with partial spectral unmixing and spectral comparison with other floating materials (plastic litter project …

D Papageorgiou, K Topouzelis, G Suaria, S Aliani… - Remote Sensing, 2022 - mdpi.com
Large-area, artificial floating marine litter (FML) targets were deployed during a controlled
field experiment and data acquisition campaign: the Plastic Litter Project 2021. A set of 22 …

On advances, challenges and potentials of remote sensing image analysis in marine debris and suspected plastics monitoring

O Karakuş - Frontiers in Remote Sensing, 2023 - frontiersin.org
Marine plastic pollution is an emerging environmental problem since it pollutes the ocean,
air and food whilst endangering the ocean wildlife via the ingestion and entanglements …

Detection and Monitoring of Floating Plastic Debris on Inland Waters from Sentinel-2 Time Series

D Cerra, S Auer, A Baissero… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Floating plastic debris on water surfaces imposes both short-and long-term burdens on
nature. Hence, identifying and monitoring plastic is important to document the location and …

A Comparative Study on Sentinel-2 Cloud Detection Algorithms in Marine Environments

I Kakogeorgiou, P Mikeli, K Kikaki… - IGARSS 2024-2024 …, 2024 - ieeexplore.ieee.org
In the realm of satellite-based marine monitoring, accurate cloud detection is crucial for
ensuring the reliability of satellite imagery analysis. Addressing this challenge, our paper …

[PDF][PDF] Marine litter and plastic detection on Black Sea beaches by using unmanned aerial vehicle (UAV)

D MARIN, AM CIUCĂ, A FILIMON, E STOICA - 2024 - sciendo.com
Plastic and marine litter is one of the current growing issues worldwide, affecting the unique
Black Sea ecosystem as well. Litter is yearly monitored for assessing ecological status …

[PDF][PDF] Short time spatiotemporal forecasting using efficient deep learning algorithms

AS Bojesomo - 2023 - khazna.ku.ac.ae
Abstract Alabi Sakirudeen Bojesomo,“Short time spatiotemporal forecasting using efficient
deep learning algorithms”, PhD Dissertation, Phd in Engineering, Department of Electrical …

[PDF][PDF] Remote sensing of marine plastic debris using satellite images off the coast of the Basque Country

JS Palacios - researchgate.net
Growing concern about plastic pollution in marine ecosystems has driven the need to
develop efficient and accurate methods to monitor their presence. One of the most promising …