@inproceedings{c1ac3a9e59c04fc193da1df17ad9ea6c,
title = "Multi-sensor based approach for detection of oil pollution in the Arabian Gulf and the Sea of Oman",
abstract = "In this study, two oil spill events in 2014 in the Arabian Gulf and the Sea of Oman were monitored and tracked using multi-sensor satellite imagery, including MODIS, Landsat-8, and VIIRS. The oil slicks were characterized by dark or bright contrasts relative to surrounding oil-free waters in the RGB images. The oil slicks covered an estimated area of 29 km2 in the northern Arabian Gulf and 40 km2 in the Sea of Oman. The trajectories of oil slicks were estimated with a pollution transport model. The results were consistent with satellite observations. The study presented in this paper demonstrated the benefit of combining multi-satellite observations and transport models for oil spill monitoring and tracking.",
keywords = "Arabian Gulf, hydrodynamic model, red tide, remote sensing, upwelling",
author = "Jun Zhao and Marouane Temimi and Azhar, \{Muchamad Al\} and Hosni Ghedira and Prashanth Marpu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",
year = "2015",
month = nov,
day = "10",
doi = "10.1109/IGARSS.2015.7326239",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "2190--2193",
booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",
}