Oil slick classification by SAR imagery using synergetic data

C-band SAR is well adapted to detect ocean pollution because backscatter is reduced by oil slicks that appear as dark patches on the image as the increase of viscosity due to the presence of oil damps gravity-capillarity waves. In order to classify these dark patches, we used ancillary satellite data and numerical models that yield environmental parameters from which slick nature can be deduced. ERS and ENVISAT images acquired during Prestige tanker accident have been tested, and then results have been compared with aircraft surveys. We conclude that in most cases environmental data are sufficient to classify slicks, and synergetic data should be used to improve oil slicks detection.