We started off the day by saying a bit about each of our labs to the other interns. I was very interested in what the others were working on.
Afterwards, Dr. Messinger taught Allyse and me how to use PCA (Principal Components Analysis) on ENVI. Pretty much, PCA detects a coordinate system that better fits the data (pixels) of the Gough Map images. Then, the image can be represented in a different way and reveal hidden text/structures. We practiced using PCA on the Gough Map images for a long time.
Allyse and I had been staring at the computer screen for many consecutive hours
and had to take a couple breaks in which we walked around the building (in which Allyse complained about the annoying sound my shoes made when I walked, haha.) By the end of the day, we had many results from using PCA and had gotten the hang of the process. Soon, we will be learning how to improve results by writing code to make PCA more effective...yay!