BASIC PRINCIPLES OF REMOTE SENSING AND PHOTOGRAMMETRY

Paper Code: 
GEO 231
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: To learn about the fundamentals of Remote sensing. 

 

CO2: To learn about remote sensing regions and bands.

 

CO3: To know and learn about digital image processing.

 

CO4: To get introduced with concept of stereoscopy.

 

CO5: To learn in detail about Satellite Imagery and its uses.

 

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 

 

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: 9780130193391

 

 

Academic Year: 
2022-2023