Introduction to Remote Sensing

Paper Code: 
GEO 602
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

To provide exposure to students in gaining knowledge on concepts and applications of Remote Sensing in acquiring planning and development and resource mapping

Course Outcomes (COs):

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

PAPER CODE

Paper Title

GEO 602

 

 

INTRODUCTION TO REMOTE SENSING 

(Theory)

 

 

The students will be able to –

 

CO33: To develop a basic understanding of the students of the subject from a geographical perspective.

CO34:   Then interrelate and pursue this science in their academic involvements.

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

 

9.00
Aerial Photography and Remote Sensing
  • Properties of Light
  • Introduction of the concept of Aerial photography
  • Introduction of the concept of Remote Sensing
  • Difference between Remote Sensing & Aerial Photography

 

9.00
Basic Principles of Remote Sensing
  • Processes involved in Remote Sensing
  • Electromagnetic radiation and EMR spectrum
  • Atmospheric windows
  • Interaction of EMR spectrum with ground objects

 

9.00
Remote Sensing Platforms and Sensors
  • Active & Passive Sensors
  • Resolution
  • Multiple imaging Sensor System
  • Landsat
  • SPOT
  • IRS
 

 

9.00
Interpretation of Data Products
  • Photographic and digital data
  • False colour composite
  • Elements and interpretation of Satellite imagery

 

9.00
Application of Remote Sensing
  • Preparation of Geomorphological maps
  • Preparation of land use/land cover maps
  • Forest classification and Watershed management 

 

References: 
  • Joseph, G. 2005: Fundamentals of Remote Sensing, United Press India.
  • Lillesand T. M., Kiefer R. W. and Chipman J. W., 2004: Remote Sensing and Image Interpretation, Wiley. (Wiley Student Edition).
  • Singh R. B. and Murai S., 1998: Space-informatics for Sustainable Development, Oxford and IBH Pub.
  • Wolf P. R. and Dewitt B. A., 2000: Elements of Photogrammetry: With Applications in GIS, McGraw-Hil
  • Vyas P.R, Remote Sensing and Digital Image Analysis, Rawat Publications, 2014   
  • Vyas P.R, Remote Sensing and Systems: basics and Applications, Rawat Publications, 2014
  • Mohan, Madan, Basic Notes on GeoinformaticsPrincipales and Concepts, New Delhi : R K book, 2014
Academic Year: 
2021-2022