Detection of oil pollution in the arabian gulf using optical remote sensing imagery

Jun Zhao, Hosni Ghedira, Marouane Temimi

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

5 Scopus citations

Abstract

In this study, the spectral characteristics of oil slicks in the Arabian Gulf are investigated with MODIS, MERIS, and Landsat imagery. Two oil spill events were studied based on the multi-sensor technique. The oil slicks indicated both bright and dark contrasts in RGB composites due to the dependence of oil slick appearance in satellite imagery upon the viewing geometry, the solar angle, and oil type and thickness. The spectral Rayleigh-corrected reflectance (Rrc) of oiled areas indicated higher variability due to differences in oil fractions while the Rrc spectra of unoiled areas showed persistency. Floating Algae Index (FAI) images showed potentials in differentiating oil slicks from algal blooms. Ocean circulation and wind data were used for tracking oil slicks and forecasting their potential landfall. Developed oil spill maps indicated good agreement with official records. Combination of satellite observations and hydrodynamic modeling is suggested for establishing an early warning and forecasting system for oil pollution response.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Pages1453-1456
Number of pages4
ISBN (Electronic)9781479957750
DOIs
StatePublished - 4 Nov 2014
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: 13 Jul 201418 Jul 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/TerritoryCanada
CityQuebec City
Period13/07/1418/07/14

Keywords

  • Arabian Gulf
  • algal bloom
  • hydrodynamic model
  • oil spill
  • remote sensing

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