REMOTE SENSING AND GIS

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

Course objectives

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

Course Outcomes (COs):

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Paper Code

Paper Title

ENV 423

Remote Sensing and GIS

Upon completion of this course, student will be able to:

CO77: Describe Remote Sensing Systems and programs (sensors, platforms, etc.) and assess its potential for spatial analysis

CO78:  Choose and select methods to improve, correct and interpret Remote Sensing Images

CO79: Determine applications of remotely sensed data for monitoring and managing various natural resources

CO80:  Use remote sensing and GIS to solve complex problems related to geospatial technologies and it applications

Approach in teaching:

Interactive Lectures, Power point presentations, Informative Videos, Demonstration, tutorials

Learning activities for the students:

Image Interpretation,  Case studies, Simulation

Quiz, Power Point Presentations, Individual and group projects, Assignments, Class Test, Semester end examination

 

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: 
2020-2021
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