Comments (2)
I'm going to try removing potential snow pixels from the potential cloud mask prior to filtering.
from rio-cloudmask.
Going to ignore the snow mask for now... it exhibits lots of false negatives (snow on Mt St Helens is snow is ignored) and false positives (the center of big clouds is just cloud but is labeled "potential snow")
from rio-cloudmask.
Related Issues (12)
- pythonfmask HOT 3
- Expose kwargs and options for filter sizes
- Property-based tests
- Reduce memory footprint
- Handle absence of TIRS Band 10
- use of np.fmax with 3 arrays in equations.variability prob HOT 2
- More features? HOT 1
- Error in brightness test
- Implement cloud shadow fill/segmentation/matching approach
- Build test suite of L8 data HOT 1
- Fails when there are no clear sky land pixels HOT 2
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