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Using artificial intelligence to support marine macrolitter research: a content analysis and an online database
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
develop efficient and accurate methods to monitor their presence. One of the most promising …