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You can get information from scene classification layer produced by Sen2Cor, for data where S2A is available. Data can be retrieved by identifier “SCL” (e.g. instead of return [B02]; for blue color one can use return [SCL/10];).
Data can be then used for e.g. validation of the pixel value, e.g. along the lines:

          var scl = SCL;
          if (scl == 0) { // No Data
            return [0, 0, 0]; // black
          } else if (scl == 1) { // Saturated / Defective
            return [1, 0, 0.016]; // red
          } else if (scl == 2) { // Dark Area Pixels
            return [0.525, 0.525, 0.525]; // gray
          } else if (scl == 3) { // Cloud Shadows
            return [0.467, 0.298, 0.043]; // brown
          } else if (scl == 4) { // Vegetation
            return [0.063, 0.827, 0.176]; // green
          } else if (scl == 5) { // Bare Soils
            return [1, 1, 0.325]; // yellow
          } else if (scl == 6) { // Water
            return [0, 0, 1]; // blue
          } else if (scl == 7) { // Clouds low probability / Unclassified
            return [0.506, 0.506, 0.506]; // medium gray
          } else if (scl == 8) { // Clouds medium probability
            return [0.753, 0.753, 0.753]; // light gray
          } else if (scl == 9) { // Clouds high probability
            return [0.949, 0.949, 0.949]; // very light gray
          } else if (scl == 10) { // Cirrus
            return [0.733, 0.773, 0.925]; // light blue/purple
          } else if (scl == 11) { // Snow / Ice
            return [0.325, 1, 0.980]; // cyan
          } else { // should never happen
            return [0,0,0];
          }
          

Please note that it makes sense to use this layer only on full resolution as any interpolation based on classification codelist will not produce reasonable results. You should also use NEAREST upsampling/downsampling setting, which you can find in "Advanced layer editor" .

Also please note that this map does not constitute a land cover classification map in a strict sense, its main purpose is to be used internally in Sen2Cor in the atmospheric correction module to distinguish between cloudy pixels, clear pixels and water pixels.

An example of Blinnenhorn, Switzerland (October 14, 2017):


Sentinel-2 L2A, SCL, acquired with EO Browser


Sentinel-2 L2A, true color, acquired with EO Browser

This is a prototype feature and can change in the future releases.