Creating image compositions

Now that we know the basics of iterating through the image, which allows us to process many bands together without running out of memory, let's produce some fancier results.

True color compositions

Since we have Landsat's red, green, and blue bands, we can create an image with true colors. This means an image with colors similar to what they would be if we were directly observing the scene (for example, the grass is green and the soil is brown). To do this, we will explore a little bit more of Python's iterators.

The Landsat 8 RGB bands are respectively bands 4, 3, and 2. Following the concept that we want to automate tasks and processes, we won't repeat the commands for each one of the bands. We will program Python to do this as follows:

1. Edit your imports at the beginning of the file to be as follows:

   import os
   import cv2 as cv
   import itertools
   from osgeo import gdal, gdal_array
   import numpy as np

2. Now add this new function. It will prepare the bands' paths for us:

   def...