UAT 463 · 3(2-2-5) · Year/term 4/1

Remote Sensing and Geographic Information Systems

การสำรวจระยะไกลและระบบสารสนเทศภูมิศาสตร์

Progress

Notional hours: 135 h (online/self-study 75 · in class/lab 60)

Course description

remote sensing principles, electromagnetic spectra, optical, thermal, and multispectral sensors, image correction and classification, spectral indices, spatial data structures, coordinate systems, spatial analysis, and GIS-based mapping

Thai description

หลักการสำรวจระยะไกล ช่วงคลื่นแม่เหล็กไฟฟ้า เซนเซอร์เชิงแสง ความร้อน และหลายช่วงคลื่น การปรับแก้และจำแนกภาพ ดัชนีเชิงสเปกตรัม โครงสร้างข้อมูลเชิงพื้นที่ ระบบพิกัด การวิเคราะห์เชิงพื้นที่ และการจัดทำแผนที่ด้วยระบบสารสนเทศภูมิศาสตร์

Description source: Curriculum draft (revised 28 Sep 2026)Previous site code: DRT 453

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 · 27 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 · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

2Multispectral data
Weeks 4–6 · 27 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

3GIS and spatial databases
Weeks 7–9 · 27 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

4Change detection
Weeks 10–12 · 27 h1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Repeat surveys and separating real changeTH

In class / field · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

5GeoAI and publishing
Weeks 13–15 · 27 h3 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

In class / field · 12 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

Assessment (draft)

Labs and worksheets	35%
Module quizzes	10%
Midterm examination	20%
Mini-project or practical exam	35%

Knowledge domain

D04 Sensors and embedded systems D11 Artificial intelligence and computer vision D13 Surveying, mapping and geoinformatics D14 Inspection, industry and surveillance

Key references

Lillesand, T., Kiefer, R. W., & Chipman, J. (2015). Remote sensing and image interpretation (7th ed.). Wiley. link
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