COSD-BASIC PRINCIPLES OF GEOGRAPHICAL INFORMATION SYSTEM

Paper Code: 
24RES232
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

To introduce the student to the physical principles of Remote Sensing and image interpretation as a tool for mapping. To provide exposure to fundamental data models and data structures in GIS. To introduced principle of GPS, It’s components, signal structure, and working procedure.

Course Outcomes: 
  • CO22: Interpret evolution, definition and scope of GIS.
  • CO23: Analysis of geographical data products, their types, characteristics and implications.
  • CO24: Depict digital image processing.
  • CO25: Identify issues in digital representation of geographic data.
  • CO26: Enhance knowledge of global positioning system.
  • CO27: Contribute effectively in course-specific interaction.
12.00
  • Evolution of GIS; Definition and scope of GIS; Components of GIS; Issues and trends in GIS.
12.00
  • Geographical data products, types and characteristics; Implications of spherical and Planar coordinate systems and their transformations in GIS; Geo-referencing and implications of Earth’s shape and datum in GIS.
12.00
  • Issues in digital representation of geographic data; Raster and Vector models for geographic data representation.
12.00
  • Remote sensing and GIS integration, GIS project design and planning methodologies.
  • GIS data base management systems; GIS information products; Applications of GIS.
12.00
  • Basics of Global Positioning System.
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.

Suggested Readings:

  • 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.
References: 

e-Resources:

  1. Journal of the Indian Society of Remote Sensing – Annual, Springer and Indian Society of Remote Sensing, Dehradun 0255-660X.
  2. Applied Geography- Quarterly, Elsevier, Netherlands 0143-6228.
  3. https://epgp.inflibnet.ac.in/Home/Download
  4. https://link.springer.com/article/10.1007/s42452-021-04855-3
  5. https://spj.science.org/journal/remotesensing
  6. https://techjournals.stmjournals.in/index.php/JoRSG/index
  7. https://www.walshmedicalmedia.com/geophysics-remote-sensing.html
  8. https://journals.stmjournals.com/jorsg/

 

Academic Year: 
2024-2025