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

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

doi:10.5194/essd-17-6807-2025

Articles | Volume 17, issue 12

https://doi.org/10.5194/essd-17-6807-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-6807-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 12

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

Data sets

Oil Slicks, Look-Alikes and Other Remarkable SAR Signatures in Sentinel-1 Imagery in the Eastern Mediterranean Sea in 2019 Yi-Jie Yang and Suman Singha https://doi.org/10.1594/PANGAEA.980773

Model code and software

Programs for working on SAR dataset with oil slicks, look-alikes and other remarkable signatures (DARTIS_2019) Yi-Jie Yang https://github.com/yi-jie-yang/dataset_DARTIS_2019

yi-jie-yang/dataset\_DARTIS\_2019: Dataset code v1 (Version v1) Y.-J. Yang https://doi.org/10.5281/zenodo.17789853

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.