Sea Surface Slicked Oil Detection Using GNSS-R Simulation

  Oil spill has become one of the important effects of pollutants in the marine ecological environment, in the last 40 years, there have occurred about 3200 oil spill accidents in China. The remote sensing monitoring of ocean oil spill is the main optical and radar satellites, which generally exhibit shortcoming that a long revisited period, however oil spills often result in immediate and longterm serious environmental pollution, and it need to rapidly and accurately monitor oil spill conditions. Global Navigation Satellite System reflected signals (GNSSR) technology has the characteristic of allweather availability, hence, it is more suitable for the detection of oil spills. To assess the feasibility of the GNSSR simulation in detecting the oil slicks, the GNSSR coastal simulated experiment was performed on the oil slick distribution of an oil spill accident, which occurred in Qingdao, China, 2013. In this paper, the DelayDoppler Map (DDM) is conducted by combining the MeanSquare Slope (MSS) model for oil slicked／clean surfaces and the ZavorotnyVoronovich (ZV) scattering model, which can reflect the characteristics of the GNSS scattering signals of the sea surface condition. The simulation results show that oil slicks are clearly distinguishable from the DelayDoppler Map, and therefore it can verify the feasibility of oil slicks detection by using GNSSR technology.