TY - GEN
T1 - Detection of oil pollution in the arabian gulf using optical remote sensing imagery
AU - Zhao, Jun
AU - Ghedira, Hosni
AU - Temimi, Marouane
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - 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.
AB - 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.
KW - Arabian Gulf
KW - algal bloom
KW - hydrodynamic model
KW - oil spill
KW - remote sensing
UR - http://www.scopus.com/inward/record.url?scp=84911375450&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84911375450&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2014.6946710
DO - 10.1109/IGARSS.2014.6946710
M3 - Conference contribution
AN - SCOPUS:84911375450
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1453
EP - 1456
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Y2 - 13 July 2014 through 18 July 2014
ER -