ADVANCE PRINCIPLES OF REMOTE SENSING

Paper Code: 
RES 331
Credits: 
3
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

Course Outcomes (COs)

Learning and teaching strategies

Assessment Strategies

On completion of this course, the students will be able to:

CO1: After studying the students will understand the physics of the Remote Sensing, and topics like radiation laws of plancks, stefans-Boltezman and Kirchoffs laws.

CO2: They will gain the knowledge of sensors used in IRS . also they will get to know about different types of resolution.

CO3: Students will understand fundamentals of image interpretation and will know by which tools it can be done.

CO4: In this unit of Remote Sensing students will introduce with the Digital Image processing also their principle components.

CO5: They will understand the skill of Image classification.

 Approach in teaching:

Interactive Lectures,

Discussion, Tutorials,

Reading assignments, Demonstration,

Learning activities for the students:

Self learning assignments,

Effective questions,

Seminar presentation

 

 

Class test, Semester end examinations, Quiz,

Assignments,

Presentation, Individual and group projects

 

 

18.00
Unit I: 

Physics of Remote Sensing- Electromagnetic Radiation and its Quantities- Radiant Energy- Radiant Flux- Irradiance- Exultance- Solid angle Unit- Radiant intensity, Radiance Spectral Quantities- Radiation laws- Plancks, Stefans- Boltezman and Kirchoffs Laws.

 

18.00
Unit II: 

Whisk Broom and Push Broom- sensors used in IRS- Landsat- spot satellite, Resolution:

spatial, spectral, temporal and radiometric.     

 

18.00
Unit III: 

Fundamental of Image interpretation: Image interpretation key.

 

18.00
Unit IV: 

Digital Image Processing: pre-possessing, geometric and radiometric corrections, contrast starching, principle component and analysis and filtering.

 

18.00
Unit V: 

Image Classification: Supervised and unsupervised. Accuracy assessment. 

 

Essential Readings: 
  • Cracknell, A and Hayes, L. (1990): Remote Sensing Year Book, Taylor and Francis, London
  • Curran    Campbell, J. B. (2002): Introduction to Remote Sensing. 5th    edition. Taylor and Francis,     London.
  • Cracknell, P.J. (1985): Principles of Remote Sensing, Longman, London.
  • Deekshatulu, B.L. and Rajan, Y.S. (ed.) (1984): Remote Sensing. Indian Academy of Science, Bangalore.
  • Floyd, F. and Sabins, Jr. (1986): Remote Sensing: Principles and Interpretation,W.H.Freeman, New York.
  • Guham, P. K. (2003): Remote Sensing for Beginners. Affiliated East-West Press Private Ltd., New Delhi.
  • Lillesand, T.M. and Kiefer, R.W. (2000): Remote Sensing and Image Interpretation. 4th edition
  • Hallert, B. (1960): Photogrammetry, McGraw Hill Book Company Inc., New York

 

 

Academic Year: 
2022-2023