Multi-sensor based approach for detection of oil pollution in the Arabian Gulf and the Sea of Oman

Jun Zhao, Marouane Temimi, Muchamad Al Azhar, Hosni Ghedira, Prashanth Marpu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
Pages2190-2193
Number of pages4
ISBN (Electronic)9781479979295
DOIs
StatePublished - 10 Nov 2015
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • Arabian Gulf
  • hydrodynamic model
  • red tide
  • remote sensing
  • upwelling

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