Module 10 - Supervised Classification
Lab Description: For this laboratory exercise students used data that covers the County of Gray’s Harbor, located in Washington State. Assuming that the area is to be used as a camp for military exercises, students learned how to perform a supervised classification by collecting sets of pixels to define spectral signatures. Students also evaluated the accuracy of those signatures, and used them to classify the entire image.
Student Spotlight Award
The BLOG postings for Module 10 on supervised classification were overall very good! The Goal(s) for this BLOG post were:
Although many students maps and results demonstrated their growing expertise in automated digital image processing, we found Alicia Lindbom's BLOG post, whose BLOG posts have been consistently very good throughout the semester, demonstrated a high level of understanding of the process and techniques if supervised image classification.
- Create spectral signatures and AOI features
- Produce classified images from satellite data
- Recognize and eliminate spectral confusion between spectral signatures
Congratulations to Alicia Lindbom for being selected as this week's student spotlight! Alicia is a returning adult learner currently completing the GIS Online Graduate Certificate program. She has been an environmental educator and program coordinator for the past 7 years, as well as a scientific illustrator on a recent Mesa College laboratory manual. Upon completion of the certificate, Alicia hopes that the new GIS skills paired with her outreach experience will move her into a higher level science education/research paired with field work. Welcome back to the spotlight Alicia!