EventsThe 1st International Online Conference on Marine Science and Engineering
Published
This submission belongs to the session E. Marine Environmental Science of the event The 1st International Online Conference on Marine Science and Engineering
Published date
19 Nov, 2025
Academic Editor
author-avatarDong Wang
Citation
Zaloa Sanchez-Varela, Ante Kamber, Zlatko Boko, COMPARATIVE ANALYSIS OF SATELLITE EFFICIENCY IN DETECTING MARINE POLLUTION WITHIN THE CLEANSEANET SYSTEM, in Proceedings of The 1st International Online Conference on Marine Science and Engineering, 24 November–26 November 2025, MDPI: Basel, Switzerland
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COMPARATIVE ANALYSIS OF SATELLITE EFFICIENCY IN DETECTING MARINE POLLUTION WITHIN THE CLEANSEANET SYSTEM

Ante Kamber 1
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1. Military Naval Studies, Dr Franjo Tudjman Defence and Security University, Split, Croatia, Croatia
2. Faculty of Maritime Studies, University of Split, 21000 Split, Croatia, Croatia
Abstract

CleanSeaNet is a satellite-based monitoring service operated by the European Maritime Safety Agency (EMSA), aimed at detecting oil spills and other forms of marine pollution across European Union waters. As one of the key operational tools supporting maritime surveillance and environmental protection, the service provides national authorities with near-real-time information that can be used for both immediate response and long-term policy development. This study evaluates and compares the performance of individual satellites contributing to the CleanSeaNet system, focusing on their effectiveness in identifying surface-level pollution events. Using a comprehensive dataset collected over the past five years, detected spills were categorised according to the confirmation method employed—such as aerial surveillance, vessel reports, or follow-up inspections—and subsequently classified as either real pollution events or false positives. The primary objective of this analysis is to assess the detection accuracy of each satellite across a range of spill types, while also identifying potential patterns in reliability. The findings indicate that satellite performance is not uniform. Instead, significant variations emerge that support the hypothesis that detection efficiency depends on multiple interrelated factors, including sensor technology, orbital characteristics, and prevailing environmental conditions such as sea state or wind. These insights provide valuable guidance for optimising monitoring strategies and improving the overall robustness of CleanSeaNet.

Keywords
satellite monitoring
marine pollution
CleanSeaNet
EMSA
remote sensing
Poster
poster.pdf
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