Classification Lab.
In this lab you will practice creating a classification of images using 3 different methods.

Part 2- Supervised Classification

1. You will perform a supervised classification of your "field" area or if you don't have one yet (you should !) use
   the copy you made of R:\satellite\Virginia\TM16_34_1999_1-7_shen_valley_clip.ers
   The process is illustrated here.
   
   using the following classes
   1. urban/transportation
   2. pasture
   3. deciduous
   4. pine
   5. water
   6. "other"
      If you are using a new area, come up with you own list and run it by me before you proceed. You can use raw bands, or virtual datasets containing ratios, principal components or any combination of the three to develop the classification, but you should make your training regions over a rgb321 or rgb432 image so that you can see what you're marking off. .
      
2. Export the classification to ArcMap using the geolocation process that you completed last week.

For this lab, create

1. some views of your supervised classification training regions
2. one screenshot of how the training regions look on the scattergrams from one IR band and one visible band.
3. your supervised classification map
   and an evaluation of how well it does it's job.