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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

E-mail

:  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%