• slider
    RIOSS
    Radar Image Oil Spill Seeker
    a machine learning classification tool to help identifying oil spills
  • slider
    RIOSS
    Radar Image Oil Spill Seeker
    a machine learning classification tool to help identifying oil spills
  • slider
    RIOSS
    Radar Image Oil Spill Seeker
    a machine learning classification tool to help identifying oil spills

What is RIOSS?

The Radar Image Oil Spill Seeker (RIOSS) is a program developed in Python by Conceição, et al (2021) as a machine learning system for detecting oil spills on sea surface through SAR images. This system was developed to support scientific studies on ocean oil spills, through an open and collaborative code, which is available on RIOSS' GitHub. In addition, a more complex operational version of RIOSS runs in nearly real time, at Satellite Oceanography Laboratory of the Federal University of Bahia, to detect possible oil spills on Brazilian coast.

Details on installation can be found in the Download section.

  • 1470

    Spillings Considered

  • 150

    Spillings Detected

  • 1320

    Lookalikes Discarded

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