Lab 5 : Supervised and Unsupervised Classification

 

This lab helped me to learn how to classify satellite imagery using classification methods. While initially it just felt like a simple classification of color tones, it was actually a lot more challenging than I initially anticipated. After classifying and merging the color types, I realized that I was left with a lot of dark browns and black tones which made it hard to distinguish what actually was what. 

For my Germantown map, I was not feeling very confident in my color choices since most of these colors seem to distort the original parameters of the different components such as roads, buildings, and forest.  I had to spend an extra amount of time on it to try and make it look somewhat distinguishable. 

For the UWF campus map, since there were far less features to worry about, I didn't have to worry as much after merging as most of the buildings and roads were easily identifiable from the forested areas. 

Overall I can see this process being very useful in planning and land use as it can give distinct visuals to help identify what is being used and help highlight the different types.