Syllabus
| # | Title | Description |
|---|---|---|
| 1 | ||
| 2 | ||
| 3 | ||
| 4 | Active participation of students in collaborative learning and projects-based learning | |
| 5 | Tarolli, P., & Mudd, S. M. (2020). Remote Sensing of Geomorphology (Vol. 23). Elsevier. Rees, G. (2013). Physical principles of remote sensing. Cambridge university press. Franceschetti, G., & Lanari, R. (2018). Synthetic aperture radar processing. CRC press. Cardille, J. A., Crowley, M. A., Saah, D., & Clinton, N. E. (Eds.). (2023). Cloud-based remote sensing with google earth engine: fundamentals and applications. Springer Nature. Jordan, D. S. (2023). Applied Geospatial Data Science with Python. O'Reilly Media. | |
| 6 | Projects: 10 Class activity and final exam: 10 | |
| 7 | Lectures using PowerPoint. Collaborative learning. Projects-based learning. Questions and Answers |