BASIC PRINCIPLES OF REMOTE SENSING

Paper Code: 
RES 132
Credits: 
3
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

Have a functional understanding of basic remote sensing concepts and applications and understanding of the various platforms.

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

  
 

CLO 02:  The students will have a functional understanding of basic remote sensing concepts and applications and understanding of the various platforms.

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: 
Development of Remote Sensing
  • Introduction to Remote sensing                                    
  • Fundamental principles of Remote Sensing                     
  • Electromagnetic radiation 
  • EM Spectrum   
18.00
Unit II: 
Atmospheric windows
  • Scattering
  • Areal Atmospheric Window
18.00
Unit III: 
Interaction With Earth Materials
  • Types Of Earth Material
  • Interaction process 
18.00
Unit IV: 
Remote sensing platforms
  • Introduction to  sensing platforms                                                                 
  • Sensor
  • Landsat
18.00
Unit V: 
Other Important Platforms
  • Spot                                          
  • Sea- Sat                                     
  • ERS
  • IRS
Essential Readings: 
  • Adrados, C., Girard, I., Gendner, J., & Janeau, G. (2002). Global Positioning System (GPS) location accuracy due to selective availability removal. C. R. Biologies, 325, 165-170.
  • Arvanitis, L., Ramachandran, B., Brackett, D., Rasoul, H., & Du, X. (2000). Multiresource inventories incorporating GIS, GPS and database management systems: A conceptual model. Computers and Electronics in Agriculture, 28, 89-100.
  • Basudeb Bhatta, Remote sensing and GIS, Oxford University Press, Nov 2011
  • Ellis, E. A., Nair, P. K. R., Linehan, P. E., Beck, H. W. & Blance, C. A. (2000). A GIS-based database management application for agroforestry planning and tree selection. Computers and Electronics in Agriculture, 27, 41-55.
  • Lillesand, Remote Sensing And Image Interpretation, 5Th , John Wiley & Sons, 2007.
  • Walsh, A. and J. C. Ollenburger, 2000: Essential Statistics for the Social and Behavioral Sciences: A Conceptual Approach. Prentice Hall, pp. 320. ISBN-13: 978-0130193391

 

Academic Year: 
2020-2021