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Examining an Oil Spill Plume Mapping Method based on Satellite NIR Data

C. Wu1, Z. Chen1 *, C. An1, K. Lee2, B. Wang3, M. C. Boufadel4, and Z. Asif1

  1. Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal H3G 1M8, Canada
  2. Ecosystem Science, Fisheries and Oceans Canada, 200 Kent Street, Ottawa K1C 0E6, Canada
  3. Hyperspectral Remote Sensing Engineering Research Center for Ecological Environment Monitoring, Yangtze Normal University, Chongqing, 408100, China
  4. Center for Natural Resources, Department of Civil and Environmental Engineering, Newark College of Engineering, New Jersey Institute of Technology, Newark NJ 07102, USA

*Corresponding author. Tel.: + (1) 5148482424 ext. 8775. E-mail address: (Z. Chen).


Reliable information on the spreading of oil plume on water caused by massive oil spills is essential for making proper clean-up measures. Satellite remote sensing technology has advantages over other methods in terms of larger coverage and without ex- pensive operating costs to detect oil spills. In this study, an oil plume delineation method based on the Near-Infrared (NIR) satellite data is used to examine oil spill plume area and size for the BP Deepwater Horizon Oil Spill in the offshore water of Gulf of Mexico and for the recent Norilsk oil spill in a Northern inland water region. To get accurate results noise signals such as land from the data are masked out using SNAP based DEM data and Normalized Difference Water Index method, whereas cloud signals are removed using MODIS cloud masking. Cox-Munk model is used to compute the sun glint radiance. Results of DP oil spill case depicts a 4838.84 km2 thicker oil plume along with the 20635.53 km2 thinner portion of the oil slicks using MODIS NIR data at a 500-meter resolution. It is subsequently applied to the recent Norilsk Oil Spill using higher resolution Sentinel-2 NIR data to test the method for detecting spill plume in an inland river water system. Reasonable high-resolution results at 10 meter have been obtained for the smaller scale oil spill onto river water compared to larger offshore area, considering that the river site has complex conditions including shallow water and river reddish soil close to oil color. The developed method is suitable for detecting thick oil plume in ocean or deep inland water bodies.

Keywords: oil spill plume, near-infrared, open water, MODIS, Sentinel-2, satellite, remote sensing

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