Evaluation and performance analysis of hydrocarbon detection methods using hyperspectral data

Different methods for the detection for hydrocarbons in aerial hyperspectral images are analyzed in this study. The scope is to find a practical method for airborne oil spill mapping on land. Examined are Hydrocarbon index and Hydrocarbon detection index. As well as spectral reidentification algorithms, like Spectral angle mapper, in comparison to the indices. The influence of different ground coverage and different hydrocarbons was tested and evaluated. A ground measurement campaign was conducted with controlled contaminations and manual definition of ground truth data, to evaluate the performance of the detection methods. Additionally, the discriminability between wet ground and oil-contaminated ground is investigated, along with the temporal influence on oil spill detection.