TY - GEN
T1 - Multi-sensor based approach for detection of oil pollution in the Arabian Gulf and the Sea of Oman
AU - Zhao, Jun
AU - Temimi, Marouane
AU - Azhar, Muchamad Al
AU - Ghedira, Hosni
AU - Marpu, Prashanth
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/10
Y1 - 2015/11/10
N2 - 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.
AB - 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.
KW - Arabian Gulf
KW - hydrodynamic model
KW - red tide
KW - remote sensing
KW - upwelling
UR - http://www.scopus.com/inward/record.url?scp=84962611933&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962611933&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2015.7326239
DO - 10.1109/IGARSS.2015.7326239
M3 - Conference contribution
AN - SCOPUS:84962611933
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2190
EP - 2193
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -