GEO 1215 Introduction to Remotely Sensed Imagery
This course is an introduction to remote sensing. Topics include fundamentals of the physical principles on which remote sensing is based, history and future trends, sensors and their characteristics, image data sources, and image classification, interpretation and analysis techniques. Two classroom. two lab hours per week.
Prerequisites: GEO 1107
- Explain the fundamentals and principles of remote sensing and digital image processing.
- Analyze, evaluate, and interpret a number of different remote sensing platforms (aerial photography, satellite imagery, RADAR, LIDAR, and hyperspectral).
- Perform basic remote sensing workflows to solve problems (such as acquiring data, feature extraction, change detection, pre- and post-processing, create composite images and image classification).
Credit Hours: 3
- Classroom: 2 hours
- Lab: 2 hours
- Division: Liberal Arts, Communication and Social Sciences
- Department: Geography
- Repeatable Credit: No
- Offered Online: No