Remote Sensing And Gis

Paper Code: 
ENV- 423
Credits: 
5
Contact Hours: 
75.00
Max. Marks: 
100.00
15.00
Unit I: 
Basics Of Aerial PhotoInterpretation
  • Fundamental principles of remote sensing-electromagnetic radiation
  • EM spectrum
  • Development of remote sensing
  • Interaction with earth materials
  • Interaction with Atmospheric windows
  • Sensors, Resolution
  • Microwave sensors
  • Thermal Remote Sensing
  • Landsat, SPOT, Sea-Sat, ERS, IRS
  • Meteorological  satellites
15.00
Unit II: 
Principals Of Satellite Based Remote Sensing
  • Development of aerial photography
  • Fundamental principles of aerial photography
  • Types of aerial photographs, types of films
  • Factors affecting photo-images
  • Basic principles of Stereoscope
  • Scale of aerial photographs
  • Digital Image Processing, Image enhancement classification
15.00
Unit III: 
Interpretation Of Data Products
  • Data products- Photographic and digital data
  • False colour composites
  • Elements of interpretation of satellite imagery
  • Spectral signatures
  • Ground truth
  • Visual analysis of remotely sensed data
15.00
Unit IV: 
INTRODUCTION TO DIGITAL IMAGE PROCESSING, GEOGRAPHICAL INFORMATION SYSTEM (GIS) AND GLOBAL POSITIONING SYSTEM (GPS)

  • ·       Introduction to GIS- Functional elements (components) of GIS,Spatial and Non-spatial data

    ·       Introduction to GPS (NAVSTAR and GAGAN)

    ·       GPS segments

    ·       Errors in GPS

15.00
Unit V: 
APPLICATIONS OF REMOTE SENSING, GIS and GPS

  • ·       Surface water pollution monitoring

    ·       Location of ground water rich zones

    ·       Forest management

    ·       Study of animal behavior and population

    ·       Watershed management

    ·       Preparation of land use/land cover maps

    ·       Disaster management

Essential Readings: 
  1. Gatrell, A. and Markku, L. (1998).  GIS and Health. Philadelphia. Taylor and Francis, Inc.
  2. Griffth, D. A. and  Layne,L.J.(1999). A Casebook For Spatial Statistical Data Analysis: A Compilation of Analyses of Different Thematic Data Sets. New York. Oxford Press.
  3. Gupta, R. P. (2003). Remote sensing geology. New York .Springer.
  4. Hay, S.I. and  Randolph,S.E. and  Rogers,D.J eds.(2000). Remote Sensing and Geographical Information Systems in Epidemiology. San Diego. Academic Press.
  5. Lee, Jay and Wong, D.W.S. (2001).Statistical Analysis with ArcView GIS. New York. John Wiley & Sons, Inc.
  6. Haywood, I. (2000). Geographical Information Systems. Longman.
  7. Joseph G. (2003). Fundamentals of Remote Sensing. Hyderabad. Universities Press.
  8. Joseph G. (2003). Fundamentals of Remote Sensing. Hyderabad. Universities Press.
Academic Year: 
2018-2019
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