PRACTICAL

Paper Code: 
24RES333
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: 
  • CO43:Create elevation models, determination of the slopes, height etc via using application of GIS Software.
  • CO44: Acquire satellite images with RS Software to enhance digital image processing.
  • CO45: Contribute effectively in course specific interaction.
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
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, S.M. (ed.), (1978): Remote Sensing: The Quantitative Approach. McGraw Hill, New York.
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: 
2024-2025