FC22351 Optical Remote Sensing
Course Outline
Course |
: FC 22351 – Optical Remote Sensing |
Core/Specialization |
: Core |
Programme |
: Bachelor of Science Honors in Surveying Sciences |
Department |
: RSGIS |
Faculty |
: Faculty of Geomatics |
Contact Hours |
: 180 |
Year |
: II |
Semester |
: II |
Lecturer |
: Ms. J. A. S. Jayakody |
Room No. |
: FF-12 |
Telephone No. |
: 045-3453019 |
|
: swarna@geo.sab.ac.lk |
Synopsis
This course introduces students to basic knowledge of remote sensing, errors and corrections related to the satellite images.
Contents
- Introduction to Remote Sensing
- Definition & description of keywords
- Formation & description of an Image
- Image interpretation
- Image distortions
- Radiometric corrections
- Geometric corrections
- Satellite systems
- Digital image processing
Practical Tasks
- Familiarizing to ERDAS Imagine software
- Display an image and view its properties
- Visual image interpretation using the software
- Applying geometric correction using software
Learning Outcomes
By the end of the course, students should be able to: |
|||
No. |
Course Learning Outcome |
Programme Outcome |
Assessment Methods |
1. |
To explain key words used in Remote Sensing |
P01 |
Assignment/ Final Exam |
2. |
To understand the techniques used in satellite image interpretation |
P01 |
Final Exam |
3. |
To explain the physics of the electromagnetic spectrum and how this is used for earth observation |
P01 |
Final Exam |
4. |
To understand the errors in the satellite images |
P01 |
Assignment/ Final Exam |
5. |
To apply correction methods for the images |
P01 |
Assignment/ Final Exam |
6. |
To explain the characteristics of the satellites and sensors |
P01 |
Final Exam |
7. |
To display imageries and remove errors by using remote sensing software |
P01, P02 |
Assignment/ Final Exam |
Student Learning Time (SLT)
Teaching and Learning Activities |
Student Learning Time (hours) |
Directed Learning |
|
Lectures and Student Centered Learning (SCL) |
29 |
Lab Practical |
30 |
Preparation - Student CentIndependent Learningred Learning activities |
21 |
Lab Practical activities |
15 |
Self-Learning (Library & Internet) |
25 |
Revision |
25 |
Assessment |
|
Assignments |
01 |
Final Examination(written) |
02 |
Final Examination(Practical) |
02 |
TOTAL (SLT) |
150 |
Teaching Methodology
Lectures, Lab work and individual and group assignments |
References
- Robert Shcowebgerdt, Remote sensing models & methods for image processing, III edition, 2004.
- John A.Richards, Springer – Verlag, Remote Sensing Digital Image Analysis 1999.
- W.G.Rees - Physical Principles of Remote Sensing, Cambridge University Press, 2nd edition, 2001.
- Paul M. Mather and Magaly Koch, Computer Processing of Remotely-Sensed Images, Fourth Edition.
- James B., Introduction to Remote Sensing, Camphell, Latest Edition
- Chandra, A.M., Remote Sensing and Geographical Information System – 2006
- Joseph, George, Fundamentals of Remote Sensing – 2005
- Rees, W.G., Physical Principles of Remote Sensing – 2005
- Richards, John A., Remote Sensing Digital Image Analysis : An Introduction – 2013
Grading
Assignments |
20% |
Practical |
30% |
Final Examination |
50% |
Total |
100% |