GEO 305 - Remote Sensing

Theory and techniques of image processing and analysis for remotely sensed digital data acquired from airplane and satellite platforms. Topics include image enhancement and classifications, spectral analysis, and landscape change detection techniques. Practical applications of natural and built landscapes are considered using remotely sensed datasets and techniques.

Prerequisite(s):
Co-requisite(s):
Credits: 3

Course Typically Offered:
Course Type: Geography