Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Microfibers Accumulation within a Mediterranean Submesoscale Cyclone.

Environmental science & technology·2026
Same author

Weathered microplastics alter deep sea benthic biogeochemistry and organic matter cycling: insights from a microcosm experiment.

Environmental pollution (Barking, Essex : 1987)·2025
Same author

Remote sensing and image analysis of macro-plastic litter: A review.

Marine pollution bulletin·2025
Same author

A role for the autophagy receptor NBR1 in the degradation of tau aggregates.

Neurobiology of disease·2025
Same author

A comprehensive analysis of the scrapping and abandonment of fiber-reinforced polymer vessels at sea.

Marine pollution bulletin·2025
Same author

Multi-matrix approach to microplastic pollution in the bivalve Donax trunculus, sediment and water along the Mediterranean coasts.

Environmental pollution (Barking, Essex : 1987)·2025

Related Experiment Video

Updated: Oct 29, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.0K

Floating marine litter detection algorithms and techniques using optical remote sensing data: A review.

Konstantinos Topouzelis1, Dimitris Papageorgiou1, Giuseppe Suaria2

  • 1Department of Marine Science, University of the Aegean, University Hill, 81100 Mytilene, Greece.

Marine Pollution Bulletin
|July 5, 2021
PubMed
Summary

This review explores using satellite imagery for detecting floating marine litter (FML). While sensor limitations exist, advanced processing methods can improve the accuracy of spaceborne plastic detection.

Keywords:
Marine litterRemote sensingSatellites

More Related Videos

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
10:16

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Published on: December 16, 2016

50.2K
A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry
06:36

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

3.9K

Related Experiment Videos

Last Updated: Oct 29, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.0K
Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
10:16

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Published on: December 16, 2016

50.2K
A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry
06:36

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

3.9K

Area of Science:

  • Environmental Science
  • Remote Sensing
  • Oceanography

Background:

  • Floating Marine Litter (FML), primarily plastics, poses a significant environmental threat.
  • Traditional in situ observations are limited in scale for monitoring vast marine environments.
  • Satellite remote sensing offers a promising, large-scale alternative for FML detection.

Purpose of the Study:

  • To review published research on optical remote detection of floating marine debris.
  • To compile and analyze methodologies for floating marine litter monitoring.
  • To provide insights into different detection approaches and their effectiveness.

Main Methods:

  • Literature review of published research on optical remote detection of FML.
  • Compartmentalization of research articles to analyze proposed procedures.
  • Assessment of methodological frameworks for spaceborne FML detection.

Main Results:

  • Identified various optical remote detection techniques for FML.
  • Highlighted the potential of high-resolution multispectral satellite images.
  • Acknowledged current limitations due to satellite sensor specifications.

Conclusions:

  • Spaceborne detection of FML is feasible but faces sensor-related challenges.
  • Methodological processing chains are crucial for enhancing detection accuracy.
  • Further research is needed to overcome existing bottlenecks in spaceborne FML monitoring.