Chl data Geo tiff conversion

The results can be improved by providing more accurate values for e.g., salinity and air pressure.
As discussed here:

Also finding better conversion factors for chl can improve the results. This is discussed here:

As simple start for masking the clouds you can use the quality_flags_bright to the valid-pixel expression.
Change it from
!quality_flags.invalid && (!quality_flags.land || quality_flags.fresh_inland_water)
to
!quality_flags.invalid && (!quality_flags.land || quality_flags.fresh_inland_water) && !quality_flags_bright

For even better results you can use Idepix (additional plugin installable vie the plugin manager). You run idepix first merge the resulting mask into the L1 product and use the created mask in the valid-pixel expression.

In addition, on the C2RCC Community you can find the limits the neural net can provide for apig and btot. If the constituents of your water are outside of this range, you won’t get good results with C2RCC. There are also the limits provided for chl and tsm using the standard conversion.