Automated oil spill detection using deep learning and SAR satellite data for the northern entrance of the Suez Canal

Automated oil spill detection using deep learning and SAR satellite data for the northern entrance of the Suez Canal

Abstract Oil spills threaten marine ecosystems, demanding swift detection and response. The northern entrance of the Suez Canal, a critical maritime route, is increasingly at risk of frequent oil spill incidents. This study employs the DeepLabv3 + deep learning model to automatically detect oil spil...

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Bibliographic Details
Main Authors: Mohamed Zakzouk, Abdulaziz M. Abdulaziz, Islam Abou El-Magd, Abdel Sattar Dahab, Elham M. Ali
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Oil spill detection
Suez Canal northern entrance
Deep learning
Sentinel-1
SAR imagery
Marine environmental monitoring
Online Access:https://doi.org/10.1038/s41598-025-03028-1
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https://doi.org/10.1038/s41598-025-03028-1

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