Student Spotlights: Photo Interpretation and Remote Sensing - Module 7

GIS4035 Photo Interpretation and Remote Sensing, Instructor, Mr. Brian Fulfrost

This week we will be highlighting student’s work from the Remote Sensing Course's Module 7: Multispectral Analysis Lab

Multispectral Analysis Project Highlights

For this laboratory exercise students examined an image of forest surrounding the Olympic Mountains in Washington State.  They learned the different bands – or layers – of satellite imagery to use to best study various images.  They also learned to calculate an index that allowed them to easily distinguish between vegetation and other features within the photo. 

Objectives:

• Explore Image Histograms
• Operate the Inquire Cursor
• Interpret histogram data in images
• Identify features by interpreting digital data

Student Spotlight Awards

Please join us in congratulating David Doffing and Mohammed Hussain. Their deliverables for the Multispectral Analysis Lab were exactly what we were looking for with this assignment.

David Doffing

About David: David resides in the lovely city of Golden, Colorado. He received his Bachelors in Computer Science from Fort Lewis College in Durango, Colorado. David was introduced to GIS by his step-father and currently works as a Data Technician at Axess Communications. In his free time David likes to snowboard, skateboard, hike, and play guitar. All of your hard work has paid off, David. Enjoy your time in the spotlight!

What we like:  David’s maps were visually compelling. Clearly distinguished bands were utilized in the legend creating an apparent understanding of what was being viewed. Overall, his project demonstrated understanding of concepts and techniques learned in the module assignment.

Mohamed Hussain

About Mohamed: Mohamed received his Bachelors in surveying engineering in 2003. His hope is that the UWF Online GIS program will help to improve his GIS skills so that he can change his career path to a more GIS related field. Based on the work he’s demonstrated this week we think he is right on target Congratulations and welcome to the spotlight!

What we like: He did a great job of outlining the steps used to identify the features directly in maps. His methods used are clearly demonstrated in the image shown. He displays a keen understanding of the concepts and techniques learned in the lab assignment.