Update Terrestrial vegetation classification

Terrestrial vegetation classification

@@ -95,22 +95,22 @@ var green_veg = function(image){
   return image.updateMask(veg_indices)};
 var greenVeg = indices.map(green_veg); 
 
-// Add green layer as a band, so that it can be masked before detecting lichens (to prevent inevitable instances of overlap between green veg and lichen pixels)
+// Add green layer as a band, so that it can be masked before detecting lichens (to prevent any instances of overlap between green veg and lichen pixels)
 var GreenVegBand = function(image){
   var band = image.select('NDVI').gt(0.4)
   .and(image.select('NDVI').lt(0.98))
   .and(image.select('NDMI').gt(-0.2))
   .and(image.select('NDMI').lt(0.6)).rename('GreenVegMask').toFloat(); // 'GreenVegMask' is the new band applied to all images for the green veg layer
   return image.addBands(band)};	
-var GreenVegMask1 = indices.map(GreenVegBand); // Green vegetation is detected first on the reasoning that if pixel reflectance reaches NDVI > 0.4, it is more likely to be green vegetation
+var GreenVegMask1 = indices.map(GreenVegBand); // Green vegetation is detected first because pixel NDVI values which can reach values > 0.4 are more likely to be green vegetation
 
-// The 'GreenVegMask' band is binary (green veg = 1, everything else = 0). To prevent 'everything else' from being masked when masking the green veg, remove the 0 by adding a random number (e.g. 4 in this case) to the GreenVegMask band 
+// The new 'GreenVegMask' band is binary (green veg = 1, everything else = 0). To prevent 'everything else' from being masked when masking the green veg, remove the 0 from the GreenVegMask band 
 var RemoveZero = function(image){ 
   var masking = image.select('GreenVegMask').add(4).rename('GreenVegMask_1').toFloat();
   return image.addBands(masking)};
-var GreenVegMask = GreenVegMask1.map(RemoveZero); // Now the GreenVegMask band for green veg = 5, and everything else = 4
+var GreenVegMask = GreenVegMask1.map(RemoveZero); 
 
-// Mask the green vegetation layer using a mean composite (the latter standardises all green veg mask band values for pixels detected at least once as green vegetation) 
+// Mask the green vegetation layer using a mean composite (the latter harmonizes all green veg mask band values for pixels detected at least once as green vegetation) 
 var mean = GreenVegMask.reduce(ee.Reducer.mean()); // code is looking through all temporal images before masking green vegetation - so had chance to detect under variability 
 
 // Lichen detection thresholding