Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-6807-2025
https://doi.org/10.5194/essd-17-6807-2025
Data description paper
 | 
04 Dec 2025
Data description paper |  | 04 Dec 2025

Dataset of oil slicks, look-alikes and remarkable SAR signatures obtained from Sentinel-1 data in the Eastern Mediterranean Sea

Yi-Jie Yang, Suman Singha, Ron Goldman, and Florian Schütte

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Short summary
This data descriptor presents a dataset containing oil slicks, look-alikes, and other remarkable ocean phenomena in synthetic aperture radar (SAR) data, which can be used for training oil spill detection methods. It explains the formation of various oceanic phenomena, supported by examples and supporting materials. These insights can help researchers from diverse backgrounds, such as remote sensing, oceanography, and machine learning, to better understand the sources of the signatures.
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