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You can accomplish this using gdal and numpy. First you have to read all your rasters as numpy arrays and then stack them to create a single 3D array. Then you can mask this array to exclude values outside of the 0 - 30,000 range and then you can get the maximum value for each pixel. Finally, you have to fill the remaining masked values (pixels where the ...

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