Thank you for your answer. I notice oversaturated unnatural colors at land and sea. I have been working with other 2A products and I always had more natural realistic colors when generating RGB composites. Another issue, as you mention, is the radiometric difference among detectors. Is it a problem of detector coefficients? Is there a software to normalize that radiometric difference among detectors?
I believe (@marpet may confirm) that the view of your RGB is a consequence of the handling of the data by the software. I would suggest that that the high percentage of sea in the visible bands leads to the land being rendered brightly.
Regarding the detector/detector difference, this is a spectal response non-uniformity, and is highlighted in Section 5.1 of the monthly Data Quality Report (DQR) produced by the S2 MPC and available from the Sentinel-2 MSI Document Library.
Yes, it is very likely that the different display is cause by a different distribution of bright and dark pixels in the histogram.
Unfortunately, the images are scene specific and can not easily be compared.
Good constant value ranges for the RGB images are
Red: 0 - 0.35
Green: 0 - 0.30
Blue: 0 - 0.25
If you want to do this automatically you could follow the description I gave recently:
Thank you both for that information. Limits for RGB values worked quite well, and then adding brightness to the blue channel in order to see better ocean areas ended up in a reasonably natural color. I know that Sentinel 2 was not conceived for Ocean monitoring, but it´s high spatial resolution makes it really useful for certain applications. I know there are some issues with atmospheric correction for ocean applications. Concerning the best available atmospheric correction for ocean monitoring, I have been suggested to test Polymer. What would be your advise about that?