I am working with Landsat 8 data. I have performed the necessary pre-processes that I want (atmospheric and topographic correction and pan-sharpening, using QGIS and ERDAS). I am now working on removing clouds and cloud shadow. I used the "Iso Cluster Unsupervised Classification" tool first. I then manually color coated vegetation vs. cloud/shadow coverage (red and green). I used the "reclassfy" tool to combine the two classes.
I am stuck with: Now I want to make the cloud/shadow coverage value 0 and the vegetation value 1. Then multiple that by my original pre-processed Landsat 8 image. This way all the pixels with the cloud/shadow coverage will disappear, but make sure I keep the RGB bands from the original. Any suggestions?
I have tried multiplying the cloud/shadow and vegetation data by the original in the raster calculator and I get an output with no clouds, but the RGB bands are no longer there.