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Oil spill detection with fully polarimetric UAVSAR data.

Peng Liu1, Xiaofeng Li, John J Qu

  • 1ORSI, Ocean University of China, Qingdao, Shandong 266100, China.

Marine Pollution Bulletin
|October 26, 2011
PubMed
Summary

This study introduces two advanced methods for detecting ocean oil spills using polarimetric synthetic aperture radar (SAR). Combining scattering matrix parameters into a new metric (F) and using total power (SPAN) effectively identified oil slicks.

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Area of Science:

  • Remote Sensing
  • Oceanography
  • Geophysics

Background:

  • Ocean oil spills pose significant environmental threats.
  • Effective detection is crucial for mitigation and response efforts.
  • Polarimetric synthetic aperture radar (SAR) offers a powerful tool for monitoring marine environments.

Purpose of the Study:

  • To present and compare two novel ocean oil spill detection algorithms.
  • To evaluate the effectiveness of combining scattering matrix decomposition parameters.
  • To assess the utility of total polarimetric power for oil slick identification.

Main Methods:

  • Utilized fully polarimetric SAR data (L-band UAVSAR) from the Deepwater Horizon event.
  • Developed an algorithm based on co-polar correlation coefficient (ρ) and scattering matrix decomposition parameters (H, α, A) combined into a new parameter (F).

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  • Developed a second algorithm using the total power of four polarimetric channels (SPAN) for oil slick signature representation.
  • Applied Otsu image segmentation to F and SPAN images for feature extraction.

    • Main Results:

    • Both developed algorithms successfully extracted oil slick information from contaminated ocean areas.
    • Combining scattering matrix parameters into the new parameter 'F' proved effective for oil slick detection.
    • The SPAN image approach also provided an optimal representation for oil spill signatures.
    • Both methods demonstrated good performance in identifying oil slicks in the case study.

    Conclusions:

    • The study successfully demonstrates two viable polarimetric SAR-based approaches for ocean oil spill detection.
    • The combined parameter 'F' and the SPAN method offer improved oil slick identification capabilities.
    • These methods show promise for operational oil spill monitoring and environmental protection.