Hydrocarbon Pollution Detection and Mapping Based on the Combination of Various Hyperspectral Imaging Processing Tools

Oil extraction and transportation may lead to small or large scale accidental spills, whether at sea on land. Detecting these spills is a major problem that can be addressed by means of hyperspectral images specific processing methods. In this work, several cases onshore oil are studied. First, controlled experiment was carried out: four boxes containing soil sand mixed with crude gasoil were deployed the ONERA site near Fauga, France, overflown HySpex cameras. Owing experiment, different detection strategies developed tested, particular focus most automated methods requiring least supervision. The then applied two very cases: mapping shoreline contaminated due explosion Deepwater Horizon (DWH) platform based AVIRIS (AVIRIS: Airborne Visible/InfraRed Imaging Spectrometer), tar pit former exploration site. strategy depends type oil, light heavy, recently formerly spilled, substrate. first case (controlled experiment), proposed included spectral index calculations, anomaly unmixing. DWH, indices computed unmixing method tested. Finally, detect pit, applied. all studied, successful in detecting pollution.