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I am interested to visualize the result of Scene Classification (SC) that is automatically performed during the production of level-2A products. I am using GEE.

I have read this page and this page and I can see that there are 23 bands inside each sentine-2 level-2A product. I can see that half of these are "original" Bands of S2 and the rest are the "products" of S2 preprocessing algorithm.

What I can not figure out is how to combine the information of these separate layers/bands in order to visualize a classification map that represents the spatial distribution of the mentioned 12 groups (4 different clouds etc.)

In addition if there are information of min/max bounding values of each layer/band and its interpretation?

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If I understand you correctly, you need to select the scl band, and then assign a palette to a visualization of a single band raster with values between 1 and 11.

These things look like .select('scl') either on an image or the image collection and visualization parameters will be {min:1, max:11, palette:['ff0004','868686','774b0a','10d22c','ffff52','0000ff','818181','c0c0c0','f1f1f1','bac5eb','52fff9']}

Remember that within EE you can type the name of the dataset into the search box at the top and quickly access the relevant collection/imagery details.

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