Supervised Classification is an important skill for classifying land cover into specific cover types. Supervised classification is the most appropriate classification method when ground truthing and ground control points have been collected.
While image orthorectification can be automated, these processes do not always work making it important to know how to do it manually. This can especially be difficult when there have been a lot of infrastructure changes as demonstrated in this poster.
This is an image that has been enhanced. I experimented with different bands and chose as appropriate which bands supplied the best contrast between features. After this was complete, brightness, sharpness and contrast filters were applied.