BASIC PRINCIPLES OF REMOTE SENSING AND PHOTOGRAMMETRY

Paper Code: 
RES 231
Credits: 
3
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

The student would be able to familiarise with the basic principles of remote sensing and photogrammetry and their technical aspects in a simple manner.

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

  
 

CLO 01:  The student would be able to familiarize with the basic principles of remote sensing and Photogrammetry and their technical aspects in a simple manner.

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

Fundamentals of Remote sensing:

Remote Sensing: definition and scope;

Electro-magnetic radiation: characteristics, interaction with Earth materials, Aerial Photograph: Type, scale, resolution, Geometric properties of single aerial photos

18.00

Remote sensing regions and bands; Types of remote sensing Data, FCC

18.00

Digital Image Processing, difference between photograph and Digital data.

18.00

Stereoscopy; Interior and exterior elements of orientation; Stereoscopic parallax; Relief displacement.

18.00

Satellite Imagery. General characteristics of remote sensing sensors;

Characteristics of MSS, HRV, LISS;

Introduction to the various satellites used; Meteorological satellites and Earth resources 

References: 
  • 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: 
2021-2022