Prethodno priopćenje
Comparative Analysis of Satellite Efficiency in Detecting Marine Pollution Within the Cleanseanet System
Ante Kamber
; Dr Franjo Tuđman Defence and Security University, Split
*
Zaloa Sanchez-Varela
; University of Split, Faculty of Maritime Studies, Split, Croatia
Zlatko Boko
; University of Split, Faculty of Maritime Studies, Split, Croatia
* Dopisni autor.
Sažetak
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.
Ključne riječi
satellite monitoring, marine pollution, CleanSeaNet, EMSA, remote sensing
Hrčak ID:
347248
URI
Datum izdavanja:
19.5.2026.
Posjeta: 0 *