REMOTE SENSING GIS & GPS

Paper Code: 
25GEO 143
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Course Outcomes: 

Course Code

Course Title

Course Learning Outcomes

Learning & Teaching Strategies

Assessment Strategies

25GEO143

Remote Sensing, GIS & GPS

CO8: Explain fundamentals of remote sensing & aerial photography
CO9: Apply GIS data models (raster/vector/DEM)
CO10: Operate GPS/RS/GIS software (georeferencing, data handling)
CO11: Implement geospatial tech in urban/water/soil/agriculture studies
CO12: Utilize GPS/GIS for land use mapping & environmental planning
CO13: Contribute effectively in course interaction

Teaching Methods:
• Interactive geospatial labs
• Software demonstration sessions
• Case study analysis
• Field data collection exercises
• Digital learning modules

Student Activities:
• Hands-on software projects
• Sector-specific mapping tasks
• Technical seminar presentations

• Software proficiency tests
• Geospatial analysis assignments
• Land use mapping projects
• Semester examinations
• Individual/Group research presentations

 

 

12.00
Unit I: 
  •  Introduction to Remote Sensing; Fundamental principles, Electromagnetic radiation,
  •  EMR spectrum, EMR interaction with atmosphere and earth surface features,
  •  Photogrammetry; Aerial photographs: Types Characteristics; Scale and Geometry
  •  Aerial photographs, Relief displacement.
12.00
Unit II: 
  • Definition and scope of GIS; Components of GIS; development of GIS.
  • Map Projection
  • Implications of spherical and planar coordinate systems and their transformations in
  • GIS; Geo-referencing and implications of Earth’s shape and datum in GIS;
  • GIS data standards—concepts and components;
  • Digital Elevation Model (DEM): process, derivatives and applications
12.00
Unit III: 
  •  Introduction to GPS; GPS, Remote sensing and GIS integration;
  • Mobile GIS and its application
  •  Open source Portal: Importance & Uses
  • Graphic User Interface of RS Software – GIS Software
12.00
Unit IV: 
  • Data Input: Spatial and Non-Spatial; Scanning, Digitizing; Data Import and Export;
  •  Data Registration, Georeferencing; Mosaic preparation
  •  Topology Building, Data Editing and Cleaning.
  •  Projection and Datum; Coordinate Transformation; Linking Spatial and Non-Spatial Data
  •  Data Base Creation; Attribute Handling
12.00
Unit V: 
  • GPS and GIS in Urban planning, rural planning, water resource, environment, land use and
  • land cover mapping.
  • Remote Sensing in Agriculture – An Overview, Principles of crop identification, crop inventory,
  • Soil morphology and classification.
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
  •  David L.Verbyla - Practical GIS Analysis
  •  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: 
2025-2026