Below is an image of Germantown, Maryland that features recoded LULC information.  I used tools and skills taught to us throughout the class, but primarily given to us in module 5 of GIS4035.  We generated seed classes using provided coordinates and region growing tools in ERDAS. We then used the maximum likelihood algorithm to extrapolate our seed classes to the entire image.  We then recoded our classifications into the combined classes you see below.  I actually combined Urban and Roads classes, although it was not part of the directive, to make the image more visually accurate.  I did this because there was some spectral confusion between those two classes, likely due to my error in generating seed classes.