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This a common mistake, since you're new in GEE, maybe you didn't notice it. Once created the visParams object, needs to be called from Map.addLayer() function: Map.addLayer(filteredCollection,visParams); I recommend you to stretch a bit the visualization range: var visParams = {bands: ['B4', 'B3', 'B2'],min:0,max:0.25}; Map.addLayer(filteredCollection, ...


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You could draw a polygon around the right an add it as a region parameter on your export: Export.image.toDrive({ image: yourexport, description: name, scale: 30, maxPixels: 318651567139, region: geometry // the polygon added around the right image });


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I fixed it by converting every image to integer 16. As @Kevin posted, collections have different band profiles. Solution is: var resample = function (image){ return image.int16().resample('bilinear').reproject({ crs: L8.first().projection().crs(), scale: 20


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Consider using the IsNull() spatial analyst tool. This creates a binary raster 1 for where it is NODATA and 0 for all other values. As the output is an integer grid you can create an attribute table and simply count how many 1 cells you have and that's your area. This could very easily be wrapped up in ModelBuilder for mass automation.


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