Module 1 Visual Interpretation

 In this module I created 3 maps that were each designed to analyze Aerial photo imagery in different ways. 

The images did not have any Geographic Coordinate Systems associated with them so Projections were not a concern during this lab. 

The first map I created was analyzing tone and texture. 

groups of nearby elements on the map in the photo below possesses a little different qualities than others around them. So I isolated some areas based on two specific qualities that I was looking for. 

1st, The tone of areas as to whether they were darker in nature or lighter tone can represent temperature amongst other things. 

The second quality was Texture. Being able to identify texture can help differentiate between landmasses and water, landmasses with vegetation vs no vegetation, etc..

In purple you see areas of different texture,

And in yellow you see areas I've  selected with different tone. 

The second map was relatively similar in the objectives with a similar process but the variables we were searching by were a bit different. 
In this map I looked for objects based on 4 different characteristics that could be identified by careful analysis. 

The four characteristics were 

1. Shape and Size

2. Shade

3. Pattern 

4. Association. 

This went process was more fun to me because I got to spend the time zoomed in and found some things that were uniquely identified by either the shadow that they cast or the pattern then were a part of. 

One of those items I was able to identify a billboard in-front of a hotel only because of the Shadow it cast on the ground. 

The last portion I worked on was importing two images with one geo-referenced on top of the other. 

The first image was of a True color Aerial imagery and the other was False Color. 

I was able to understand the way that every day objects in on the earth's surface are represented totally differently when observed under different light formats (Visible light) vs (near Infrared)