I have opened the “cloud_in” band from a Sentinel 3 acquisition in Snap. Each pixel in the mask seems to be from a small set of integer values, leading me to believe that the mask needs to be decoded in order to extract quantitative information about the cloud probability for that pixel. However I have not been able to find a resource online that explains how to perform the decoding of the mask values.
Could someone point me toward a document explaining what the values of the cloud mask represent please?
Ultimately I would like to import or generate a cloud probability mask in python. So a document containing explicit instructions of transforming the “cloud_in” pixel value to the probability that a cloud is present at that pixel would be desirable.
I still have not found a resource for explicitly spelling out how to extract the probability of cloud cover for a given pixel but the above link was helpful for getting me closer to that goal.
I am working with Sentinel 3 SL_2_WST products .
For cloud cover I would need to understand the differences between the different bands present in the product, and how these were obtained:.
l2p_flags_cloud;.
quality_level;.
probability_cloud_in;
probability_cloud_io.
My aim is to use the most real cloud cover possible, especially without losing information as much as possible in coastal areas.
