Use cloud probability layer for each S2 scene (s2cloudless)

[2320sharon]

GEE has provided a cloud probability layer for each S2 scene, based on s2cloudless.

CoastSat has implemented this to mask S3 clouds. So should we.

See, in SDS_preprocess.py:

• https://github.com/kvos/CoastSat/blob/d7c14e2de52f7a1d5256912eb0ac55aaf26bf86c/coastsat/SDS_preprocess.py#L218
• https://github.com/kvos/CoastSat/blob/d7c14e2de52f7a1d5256912eb0ac55aaf26bf86c/coastsat/SDS_preprocess.py#L250
• https://github.com/kvos/CoastSat/blob/d7c14e2de52f7a1d5256912eb0ac55aaf26bf86c/coastsat/SDS_preprocess.py#L350

and in SDS_download.py:

• https://github.com/kvos/CoastSat/blob/d7c14e2de52f7a1d5256912eb0ac55aaf26bf86c/coastsat/SDS_download.py#L98
• https://github.com/kvos/CoastSat/blob/d7c14e2de52f7a1d5256912eb0ac55aaf26bf86c/coastsat/SDS_download.py#L118
• https://github.com/kvos/CoastSat/blob/d7c14e2de52f7a1d5256912eb0ac55aaf26bf86c/coastsat/SDS_download.py#L191
• https://github.com/kvos/CoastSat/blob/d7c14e2de52f7a1d5256912eb0ac55aaf26bf86c/coastsat/SDS_download.py#L952

GEE article s2cloudless benchmarking article

Original Issue Submitted by @dbuscombe-usgs https://github.com/Doodleverse/CoastSeg/issues/164