There is no need to use the BEAM-DIMAP format. You can also switch to NetCDF or GeoTiff:
I noticed that, but GeoTiff do not save the masks as shown in SNAP. However, I have found that the information is saved in the quality_scene_classification band.
You can also create a subset of your data, including only the masks, and export it:
Only bands can be saved, but as I said above, the information is in the quality_scene_classification band.
It could be that a processing step doesn’t copy everything from the source product to the target (which one in your case?), but then you can merge two products afterwards:
The case is masking the scene using Mask -> Lan/Sea Mask -> Use Vector as Mask.
I am new using Sentinel data and SNAP. I am trying to mask clouds in the scene. Cloud masks do not cover the full cloud, so I added scl_cloud_medium_proba, scl_cloud_high_proba, scl_thin_cirrus, scl_snow_ice, scl_cloud_shadow, scl_dark_feature_shadow, and scl_unclassified to cover the maximum size of pixels with clouds and shadows.
But even adding all those masks it is not covered the full area affected by clouds. And I did not find a way to apply a buffer to the masks to increase the masked areas in order to remove all pixels affected.
I would really welcome any ideas to solve this problem.