Function of Mask (Fmask)

Function of Mask (Fmask), is a classification process that categorises pixels into mutually exclusive classes.  The classes are defined as an enumerator with values 0 -> 5.

The Fmask algorithm works across Landsat's 4, 5, 7 and 8, as well as Sentinel-2 A & B.  The algorithms may differ per sensor, but the classification schema is standardised across all platform's/sensors.

The classes/categories are:

• Unclassified -> 0
• Clear -> 1
• Cloud -> 2
• Cloud Shadow -> 3
• Snow -> 4
• Water -> 5

Further details on the algorithm can be found here:

• https://doi.org/10.1016/j.rse.2011.10.028
• https://doi.org/10.1016/j.rse.2014.12.014

A Python implementation of the algorithm written by Neil Flood, can be found here:

• http://www.pythonfmask.org/en/latest/
• https://github.com/ubarsc/python-fmask