Remote Sensing and Geographic Information Systems
การสำรวจระยะไกลและระบบสารสนเทศภูมิศาสตร์
Course description
Remote sensing; multispectral imagery; spatial data analysis; GIS; database management; and UAS-data integration for planning and decision support.
Thai description
Remote Sensing, Multispectral Data, Spatial Analysis, GIS, Database Management และการบูรณาการข้อมูล UAS เพื่อการวางแผนและตัดสินใจ
Course learning outcomes (CLO)
| CLO | Outcome | PLO |
|---|---|---|
| CLO1 | Explain remote sensing and multispectral data | PLO1PLO4 |
| CLO2 | Analyse spatial data with GIS | PLO4 |
| CLO3 | Integrate UAS data for decision support | PLO5 |
Learning modules
1Remote sensing principles
Weeks 1–3 · 30 h2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
- Payloads and survey data qualityTH
- Smart agriculture dronesIn development
In class / field · 15 h
Lab or field practice from worksheets with a safety checklist
2Multispectral data
Weeks 4–6 · 30 h2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 15 h
Lab or field practice from worksheets with a safety checklist
3GIS and spatial databases
Weeks 7–9 · 30 h2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 15 h
Lab or field practice from worksheets with a safety checklist
4Change detection
Weeks 10–12 · 30 h1 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 15 h
Lab or field practice from worksheets with a safety checklist
5GeoAI and publishing
Weeks 13–15 · 30 h3 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 15 h
Lab or field practice from worksheets with a safety checklist
Assessment (draft)
| Labs and worksheets | 35% |
| Module quizzes | 10% |
| Midterm examination | 20% |
| Mini-project or practical exam | 35% |
Knowledge domain
Key references
- Lillesand, T., Kiefer, R. W., & Chipman, J. (2015). Remote sensing and image interpretation (7th ed.). Wiley.
- Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic information science and systems (4th ed.). Wiley.
- QGIS Project. QGIS user guide. link