Fall 2022 - GEOG 253 D100
Introduction to Remote Sensing (3)
Class Number: 2887
Delivery Method: In Person
An introduction to the theories and practices of remote sensing, including sensors and platforms, image collection, preliminary image analysis and interpretation, and a review of remote sensing applications in environmental monitoring and resource management. Quantitative/Breadth-Science.
GEOG 253 is the introductory-level course of the remote sensing stream of courses offered by the Department of Geography (the upper-level course is GEOG 353 - Advanced Remote Sensing and the final course is GEOG 453 - Theoretical and Applied Remote Sensing). This introductory course emphasizes principles of remote sensing and the use of remote sensing data for monitoring land resources and environmental features. Topics include surface-energy interactions, remote sensing systems, image interpretation, different types of remote sensing (e.g., optical, thermal, and LiDAR), and the application of remote sensing for examining vegetation, water, soil, and urban features. GEOG 253 provides necessary background for GEOG 353 that focuses on digital image analysis and for GEOG 453 in which research projects will be completed.
The course will include lectures that cover foundational concepts and practical lab sessions where students will work on the interpretation of remote sensing images. One 2-hour lecture and one 2-hour lab tutorial will be delivered each week. Upon completion of this course, students will have the foundational knowledge of remote sensing and understand applications of remote sensing in different environments.
Note: there will be no labs in the first week of class
COURSE-LEVEL EDUCATIONAL GOALS:
After successfully completing this course, students will be able to:
- Understand the fundamental principles of electromagnetic radiation and remote sensing processes
- Define and appropriately use basic concepts related to remote sensing
- Investigate functions and characteristics of different remote sensing systems
- Discuss the application of remote sensing to real-world environmental issues
- Use the image processing software to implement basic analysis with remote sensing images
- Assignments 40%
- Midterm Test 25%
- Final Examination 35%
Floyd F. Sabins, Jr.; James M. Ellis. 2020. Remote Sensing: Principles, Interpretation, and Applications. 4th Edition. Waveland Press. ISBN: 9781478637103 (Available on VitalSource).
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