GC 425 Remote Sensing 4 cr.
- Prerequisite: GC 225 and a course in statistics, preferably GC 235. Other statistical options include BI 412 or MA 109.
The study of remotely sensed imagery and datasets for spatial analysis. Introduction to aerial photographic interpretation techniques and computer digital image processing of satellite and other spatial datasets, including preprocessing techniques, enhancements, classification and GIS modeling.
Note: Graduate students taking 400-level geography courses will be required to write a paper or complete an independent research project.