Centre for Integrated Remote Sensing and Forecasting for Arctic Operations, Department of Physics and Technology at UiT – the Arctic University of Norway, Tromsø
Deadline: July 5, 2017
The PhD project will be focused on Oil Spill Remote Sensing. Oil slicks on the ocean surface are seen as dark patches in a synthetic aperture radar (SAR) image. These dark patches are due to the reduced backscattering from slick-covered areas because of oil dampening the small waves responsible for the backscatter. Natural phenomena, known as look-alikes, may have a similar appearance as oil slicks in SAR images. These look-alikes include natural films, low wind areas, rain cells, shear zones, internal waves, and grease ice. The scope of the project is to investigate quantitative methods, including theoretical backscatter modelling, to characterize dark slicks observed in multi-polarization SAR scenes of the ocean surface, in order to develop reliable methods for discrimination between look-alikes and real mineral oil slicks.
We are seeking a candidate holding a Master’s degree in physics or mathematics, with documented knowledge and interests in theoretical aspects of radar remote sensing, including radar scattering modelling, and experience in signal and image analysis of multi-polarization SAR data. A background in remote sensing for ocean applications is an advantage.