Getting oil spill bit mask in snap from SLC product

[ABraun]

on DN, amplitude and calibration, please see here:

Sentinel-1A GRD product

Since the DN is roughly just the square root of the backscatter coefficient (aka normalized radar cross section or sigma nought), which is a dimensionless quantity, the DN itself is dimensionless as well. There calibration equations for Sentinel-1 are described in detail in this document and in the SNAP help as well. There is, of course, no need to do the calibration yourself. You can use the Calibration operator in SNAP (Radar→Radiometric→Calibrate) to convert DN to sigma/beta/gamma nought. Y…

on the sense of data in db scale, please see here:

dB or DN for image processing?

Hi all, Since the original information (digital numbers DN) can be converted to backscatter (sigma0) values, or even to sigma0 in dB: what type of image information should I use for digital image processing? What value(s) is(are) better for image processing? or are the three (DN, sigma0, sigma0 dB) equally accepted and just depend on my application? I must add that I’m not interested in using classification linked to a specific value of backscatter from a structure, I want to use segmentation …