Lab 10: Supervised Classification

For this lab we were to take an image of Germantown, MD and classify a variety of land use types from given coordinates and then recode them into 8 classes.

I used a combination of tools including created polygons and adding them to the signature editor, as well as using the grow tool and adding those results to the editor. After recoding the image, I imported the final product into ArcMap and changed the symbology for each class to a more appropriate color.

This was my final map, which includes the distance image as well as the main, recoded supervised classification: