This document outlines a course on GIS and Remote Sensing. The course objectives include understanding basic concepts of remote sensing and GIS, and their applications in civil engineering and disaster management. Students will learn about remote sensing satellites and platforms, GIS and remote sensing software, spatial analysis, and photogrammetry. Assessment includes quizzes, assignments analyzing digital data, a midterm, and a final assessment test. The course covers topics like remote sensing concepts and sensors, digital image processing, basic GIS concepts and tools, and applications in areas such as mapping, telecommunications, transportation, environment, agriculture, and natural resources.

1. CLE2023- GIS AND REMOTE
SENSING
Dr. Divya Priya B
School of Civil Engineering (SCE)
VIT Vellore.

2. Pre-requisite
 CLE1003 Surveying

3. Course Objectives
 To understand the basic concepts of remote sensing
 To learn basic concepts of Geo-graphical Information Systems
(GIS).
 To know various applications of Remote Sensing and GIS
applications in Civil Engineering
 To know the importance of decision making system.
 To understand the importance of Remote Sensing and GIS in
Disaster Mitigation and Management.
 To understand the importance of digital elevation model (DEM)
in various water resources engineering applications

4. Expected Course Outcome
 Identify the Indian remote sensing satellites
and their platforms
 Present available GIS and Remote Sensing
software like ARC GIS, QGIS and ERDAS
Imagine
 Use various analysis and interpretation of GIS
results
 Understand the importance of GIS and Remote

5. Contents
 Basic concepts of Remote Sensing
 Sensors and Scanning Systems
 Digital Image processing
 Basic concepts of GIS
 Spatial Analysis tools
 Introduction and Principles of Photogrammetry
 Applications of remote sensing and GIS
 Current events and applications

6. Marks/ Grading
 Quiz I
 Digital Assignment-I
 Midterm
 Digital Assignment-II
 Additional Learning
 FAT

7. Assessment Methodology (Theory
Component)
Methodology Max. Marks Weightage Tentative Due
Date
Quiz I 10 10 Before Midterm
Digital Assignment I 10 10 10/06/2022
Mid Term 50 30 As per calendar
Digital Assignment II 10 10 8/07/2022
FAT 100 40 As per calendar

8. Text Books & References
 Basudeb Bhatta, Remote Sensing and GIS, Oxford University
Press, New Delhi, Second Edition, (2012)
 Thomos Lillesand, Ralph W. Kiefer and Jonathan Chripman,
Remote Sensing and Image Interpretation, Wiley Publisher,
7th Edition, (2015)
 Peter A. Burrough, Rachael A. McDonnell and Christopher D.
Lloyd, Oxford University Press, 3rd Edition, (2015)
 Kang-tsung Chang, Introduction to Geographic Information
Systems, McGraw-Hill Education; 8th Edition, (2015)
 G S Srivastava, An Introduction to Geoinformatics, McGraw
Hill Education (India) Private Limited, (2014)
 Paul Wolf, Bon DeWitt and Benjamin Wilkinson, Elements of
Photogrammetry with Application in GIS, McGraw-Hill
Education; 4th Edition, (2014)

9. Do’s and Don’ts
 Punctuality
 Attentive
 Professional & ethics
 Attendance
 No Change of dates- Quizzes
 On-Time submission- No due date
extension
 Interactive sessions/ Discussions
 Clarifications- At the end of the class
 Seek help/guidance when needed

10. Importance- Practical life
 Fly safely- Navigation

11. Breathe clean air

12. Plan for hurricanes and other
tropical storms

13. Informative weather forecasts

14. Stay safe on game day

15. Prepare and respond to natural
disasters, such as flooding

16. Keep an eye on wildfires

17. Mapping

18. Telecom and Network Services

19. Accident Analysis and Hot
Spot Analysis

20. Urban planning

21. Transportation Planning

22. Environmental Impact
Analysis

23. Agricultural Applications

25. Natural Resources Management

26. Banking

27. Taxation

28. Surveying

29. Geology