Using WOfS Classifier on sentinel 2

[nanaboamah89]

Using the WOfS classifier on the Sentinel 2 and comparing it to MNDWI.

Checklist (replace [ ] with [x] to check off)

• [ x] Remove any unused Python packages from Load packages
• [x ] Remove any unused/empty code cells
• [ x] Remove any guidance cells (e.g. General advice)
• [x ] Ensure that all code cells follow the PEP8 standard for code. The jupyterlab_code_formatter tool can be used to format code cells to a consistent style: select each code cell, then click Edit and then one of the Apply X Formatter options (YAPF or Black are recommended)
• [x ] Include relevant tags in the first notebook cell and re-use tags if possible
• [ x] Ensure appropriate colour schemes have been used to maximise accessibility for vision impairment. Test your images or learn more with Coblis or TPGI
• [ x] Clear all outputs, run notebook from start to finish, and save the notebook in the state where all cells have been sequentially evaluated

Closes issues (optional)

• Closes Issue #000

[fangfy]

• The title and descriptons for the notebook are incomplete?
• S2 cloud mask appears to have a lot of issue for this area, including masking out water on 2017-12-15. Suggest find a different location or investigate the mask flags used.
• Does wofs_classify(ds) give nan over masked out regions? In cell 10, when you plot (ds_wofs.wofs == 1), you can't tell between dry and no data. Similarly for the MNDWI plot.