BASIC PRINCIPLES OF REMOTE SENSING

Paper Code: 
RES-132
Credits: 
6
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

Studies of quickly changing phenomena such as floods, drought and forest fires etc  through Remote sensing satellites provide a variety of information about the Earth's surface .Depending on their area of specialization, geographers may be employed as forest managers or in agricultural or economic institutes or as demographers in government and research organizations.

15.00
  • Development of Remote Sensing:                                                    

Introduction to Remote sensing                                                               Fundamental principles of Remote Sensing                                                      Electromagnetic radiation                                                                                   EM Spectrum                                     

15.00

Atmospheric windows                                                                                         

  • Scattering Areal atmospheric window
15.00

Interaction with Earth materials                                                                            

  • Types of Earth materials                                                                                   Interaction process                 
15.00

Remote sensing platforms                                                                                       

  • Introduction to  sensing platforms                                                                         
  • Sensors                                                                                                   
  • Landsat   
15.00

      

  • Other important platforms                                                                                                       1.Spot                                                                                                                    2. Sea Sat                                                                                                       3.ERS                                                                                                                        4. IRS                 

                                                               

Essential Readings: 

1. Campbell, J. B. (2002): Introduction to Remote Sensing. 5th edition. Taylor and Francis, London.

2. Cracknell, A and Hayes, L. (1990): Remote Sensing Year Book, Taylor and Francis, London.

3. Curran, P.J. (1985): Principles of Remote Sensing, Longman, London.

4. Deekshatulu, B.L. and Rajan, Y.S. (ed.) (1984): Remote Sensing. Indian Academy of Science, Bangalore.

5. Floyd, F. and Sabins, Jr. (1986): Remote Sensing: Principles and Interpretation, W.H. Freeman, New York.

6. Guham, P. K. (2003): Remote Sensing for Beginners. Affiliated East-West Press Private Ltd., New Delhi.

7. Hallert, B. (1960): Photogrammetry, McGraw Hill Book Company Inc., New York

8. Harry, C.A. (ed.) (1978): Digital Image Processing, IEEE Computer Society, California

9. Hord, R.M. (1982): Digital Image Processing of Remotely Sensed Data, Academic Press, New York.

10. Leuder, D.R. (1959): Aerial Photographic Interpretation: Principles and Application. McGraw Hill, New York.

11. Lillesand, T.M. and Kiefer, R.W. (2000): Remote Sensing and Image Interpretation. 4th edition. John Wiley and Sons, New York.

12. Nag, P. (ed.) 1992: Thematic Cartography and Remote Sensing, Concept Publishing. Company, New Delhi.

13. Reeves, R.G. (ed.) (1983): Manual of Remote Sensing, Vols. 1 and 2, American Society of Photogrammetry and Remote Sensing, Falls Church, Virginia.

14. Siegel, B.S. and Gillespie, R. (1985): Remote Sensing in Geology, John Wiley and Sons, New York.

15. Silver, M. and Balmori, D. (eds.) (2003): Mapping in an Age of Digital Media. Wiley-Academy, New York and Chichester.

16. Spurr, R. (1960): Photogrammetry and Photo Interpretation, The Roland Press Company, London.

17. Survey of India, (1973): Photogrammetry, Survey of India, Dehradun.

18. Swain, P.H. and Davis, S.M. (ed.), (1978): Remote Sensing: The Quantitative Approach. McGraw Hill, New York.

 

 

Academic Year: 
2017-2018