I have a Sentinel-2 L2A image downloaded from the Scihub.copernicus website.This image has clouds that muddle the classification. Thus, I want to remove them using sen2cor and SNAP. Is there any suggestions?
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Already answered here: gis.stackexchange.com/questions/230102/…– panCommented Jul 26, 2019 at 7:40
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you could use FORCE to achieve that (and much more) uni-trier.de/index.php?id=63673– sn1ksCommented Aug 6, 2019 at 8:30
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With GRASS GIS (open source), you can also use the addon grass.osgeo.org/grass7/manuals/addons/i.sentinel.mask.html– markusNCommented Apr 14, 2020 at 18:45
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Is there a way to do so in python? I downloaded S2-L2A which is produced by S2Cloudless, but I ended up with an empty mask each time. Is there a way around this?– Rim SleimiCommented Jun 11, 2020 at 8:18
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1 Answer
Sentinel-2 L2A products already include a cloud mask (in the "SCL file), produced by Sen2cor (but quite far from perfection). You do not need to apply Sen2cor again.
