REMOTE SENSING AND GIS

Paper Code: 
ENV 423 A
Credits: 
5
Contact Hours: 
75.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to –

 

  1. Understand the basic principles of remote sensing
  2. Understand applications of remote sensing and GIS in Environmental conservation

 

17.00
Unit I: 
PRINCIPLES OF SATELLITE BASED REMOTE SENSING
  • 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

 

13.00
Unit II: 
BASICS OF AERIAL PHOTO INTERPRETATION
  • 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

 

12.00
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

 

18.00
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: 
  • Gatrell, A. and Markku, L. (1998).  GIS and Health. Philadelphia. Taylor and Francis, Inc.
  • 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.
  • Gupta, R. P. (2003). Remote sensing geology. New York .Springer.
  • 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.
  • Haywood, I. (2000). Geographical Information Systems. Longman.
  • Joseph G. (2003). Fundamentals of Remote Sensing. Hyderabad. Universities Press.
  • Joseph G. (2003). Fundamentals of Remote Sensing. Hyderabad. Universities Press.
  • Lee, Jay and Wong, D.W.S. (2001).Statistical Analysis with ArcView GIS. New York. John Wiley & Sons, Inc.

 

Academic Year: 
2019-2020
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