I have a rather general question about supervised classification for oil spill detection. I want to apply supervised classification on the ESA SNAP dark spot detection tool results. My question is: if I create spectral signatures from an Envisat image (containing verified oil spills) will they perform well on a Sentinel - 1 image? As a pre-processing step I would apply radiometric correction (calibration) on both images. Any suggestion is welcome. Efi
A critical point to keep in mind when looking at oil spills on water is wind speed. Oil has the effect of damping the amplitude of waves. Back in the day, when I used to process SAR imagery for both natural and anthropogenic-sourced oil on water - we would always get wind speeds for the area. There are "ranges" of wind speeds most appropriate for various volumes of oil on water to maximize the radar return difference between water and oil on water.