PRACTICAL

Paper Code: 
25RES333
Credits: 
02
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 
Capacity to integrate information from many sources. Complex analysis/queries
involving geographical reference data to generate new information. It is used for data mining, data
compression, artificial intelligence, network and traffic modelling, vision and image analysis
Course Outcomes: 

Course Code

Course Title

Course Learning Outcomes

Learning & Teaching Strategies

Assessment Strategies

25RES333

Practical: GIS & Remote Sensing Applications

CO43: Develop elevation models and terrain analysis using GIS software
CO44: Process satellite imagery using RS software for digital enhancement
CO45: Contribute effectively in course interaction

Teaching Methods:
• Hands-on GIS/RS software training
• Terrain modeling workshops
• Image processing labs
• Field data validation
• Viva examinations

Student Activities:
• Digital elevation modeling
• Image enhancement exercises
• Technical report writing
• Field mapping projects

• Software proficiency tests
• Terrain analysis assignments
• Image processing projects
• Continuous field assessments
• Final viva examination
• Group visualization projects

 

 

15.00
Unit I: 
The interpretation and analysis of Aerial Photo and Learning the techniques by using following items, hardware and software
• Imagery of Himalayan region/Coastal/Desert region
• Aerial Photographs
• Stereoscope
• Tracing table
• Computers
• RS or GIS Software
• Use of GPS for Files survey and data transformation
15.00
Unit II: 
Exercises (Optional)
Option1: Application of GIS Software
• Spatial Analysis - Overlay, Buffer, Proximity and Network Analysis; Quarry, Building: Site Suitability
Analysis; 
• Creation Of Elevation Models: Contours, Spot Heights, 3d Modeling: Digital Elevation Models
(DEM), Determination of Slope, Aspect and Height 
 
Option2: Interpretation of Satellite Images using RS Software
• Digital Image Processing (DIP): Image enhancements; Mosaic Image classification: supervised and
unsupervised. 
• Preparation of Land Use Land Cover Maps; Different Scale and Different Time 
• Study of Pan and FCC Satellite Imagery; Study of Thermal Satellite Data and Interpretation of
Different Objects
Unit III: 
Unit IV: 
Unit V: 
Essential Readings: 
• Campbell, J. B. (2002): Introduction to Remote Sensing. 5th edition. Taylor and Francis, London. 
• Cracknell, A and Hayes, L. (1990): Remote Sensing Year Book, Taylor and Francis, London. 
• Curran, P.J. (1985): Principles of Remote Sensing, Longman,
London. Deekshatulu, B.L. and Rajan, Y.S. (ed.) (1984): Remote Sensing. Indian Academy of 
Science, Bangalore.
• Floyd, F. and Sabins, Jr. (1986): Remote Sensing: Principles and Interpretation, W.H. Freeman, New
York.
• Guham, P. K. (2003): Remote Sensing for Beginners. Affiliated East-West Press Private Ltd., New
Delhi.
 
 
Suggested Readings:
• Hallert, B. (1960): Photogrammetry, McGraw Hill Book Company Inc., New York.
• Harry, C.A. (ed.) (1978): Digital Image Processing, IEEE Computer Society, California. 
• Hord, R.M. (1982): Digital Image Processing of Remotely Sensed Data, Academic Press, New
York.
• Leuder, D.R. (1959): Aerial Photographic Interpretation: Principles and Application,McGraw Hill,
New York.
• Lillesand, T.M. and Kiefer, R.W. (2000): Remote Sensing and Image Interpretation. 4th edition.
John Wiley and Sons, New York. 
• Nag, P. (ed.) 1992: Thematic Cartography and Remote Sensing, Concept Publishing. Company, New
Delhi.
• Reeves, R.G. (ed.) (1983): Manual of Remote Sensing, Vols. 1 and 2, American Society of
Photogrammetry and Remote Sensing, Falls Church, Virginia. Siegel, B.S. and Gillespie, R.
(1985): Remote Sensing in Geology, John Wiley and Sons, New York. 
• Silver, M. and Balmori, D. (eds.) (2003): Mapping in an Age of Digital Media. WileyAcademy, New
York and Chichester. 
• Spurr, R. (1960): Photogrammetry and Photo Interpretation, The Roland Press Company, London.
• Survey of India, (1973): Photogrammetry, Survey of India, Dehradun. Swain, P.H. and Davis,
References: 
Option 1: Environment Studies:
Basics of environment, ecological aspects of environment, impact of man on biosphere, atmospheric
pollution, industrial waste, solid waste management, water quality management, pollution monitoring
equipment, visual and digital analysis of remotely sensed data, detection of spectral properties of air, land
and water pollution.
 
Option 2: Forestry:
Biotic and Abiotic components, forest ecosystem, forest types of India. Conservation of forest ecosystem,
forest surveying, forest planning, forest soils. Urban forestry. Role of Remote sensing in forest monitoring
and mapping.
 
Option 3: Agriculture:
Ecology, ecosystem. Physical and social environment as factors of crop distribution and production.
Climate elements as factors of crop growth, impact of changing environment on crop pattern .Role of
Remote sensing in crop production forecasting and monitoring .Disease monitoring, floods, water logging
mapping and monitoring.
Academic Year: 
2025-2026