Improve the Sentinel-2 cloud mask using morpholigical operations

cloud_buffering.py

import odc.algo

#Extract boolean mask
mask = odc.algo.enum_to_bool(ds.SCL, 
                             categories=['cloud shadows', 'cloud medium probability',
                                         'cloud high probability', 'thin cirrus'])
                             
# Close mask to remove small holes in cloud, open mask to 
# remove narrow false positive cloud, then dilate
mask = odc.algo.binary_closing(mask, 2)
mask_cleaned = odc.algo.mask_cleanup(mask, r=(2, 10))

# Add new mask as nodata pixels
ds_clean = odc.algo.erase_bad(ds, mask_cleaned)