Detection of maritime traffic anomalies using Satellite-AIS and multisensory satellite imageries: Application to the 2021 Suez Canal obstruction

This study summarises the scenario of maritime traffic anomalies, like the increased congestion and U-turn of ships caused by the ship grounding in the Suez Canal in March 2021. Here, satellite automatic identification system based ship trajectories, and Sentinel-1 and Sentinel-2 images based ship p...

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Bibliographic Details
Published in:Journal of navigation 2022-09, Vol.75 (5), p.1082-1099
Main Authors: Harun-Al-Rashid, Ahmed, Yang, Chan-Su, Shin, Dae-Woon
Format: Article
Language:English
Subjects:
Alliances
Anomalies
Canals
Container ships
Interocean canals
Lakes
Maritime satellites
Ports
Satellites
Ships
Traffic congestion
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Summary:This study summarises the scenario of maritime traffic anomalies, like the increased congestion and U-turn of ships caused by the ship grounding in the Suez Canal in March 2021. Here, satellite automatic identification system based ship trajectories, and Sentinel-1 and Sentinel-2 images based ship positions are analysed after subdividing the study area into seas, lakes and canals. The results show that the blockage affected the maritime traffic for more than three weeks, waiting ship numbers increased from 5 to 122, and daily one to three ships made a U-turn between 23 and 31 March in the Gulf of Suez. Ship density also increased to more than double in Bitter Lakes with a minimum waiting time of 7 days. Hence, to avoid such prolonged waiting of ships, we propose a warning method based on the sharp speed decrease rate, U-turn and congestion.
ISSN:0373-4633
1469-7785
DOI:10.1017/S0373463322000364