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

Course Outcomes (COs):

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Paper Code

Paper Title

ENV 423 A

Remote Sensing and GIS

Upon completion of this course, student will:

CO115:  Analyse the principles and components of aerial photogrammetry and remote sensing and adequately use vocabulary, terminology and nomenclature of the discipline.

CO116:   Perceive the characteristics of electromagnetic spectrum and its interaction with atmosphere and earth surface features.

CO117:  Compute an image visually and digitally using various digital image processing methods and techniques

CO118:   Employ spatial and non-spatial data features in GIS for map projections and coordinates system.

CO119: Appraise GPS components, their functions, error sources in GPS observations and corrections for accurate positioning.

CO120: Compute knowledge of remote sensing, GIS and GPS for environmental conservation.

 

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: 
Introduction to Remote Sensing
  • Concept and Scope of Remote Sensing: Definition, history, process and characteristics of remote sensing system, Advantages and Limitations, Remote Sensing scenario in Indian context
  • Concept of Electromagnetic Radiation (EMR): EMR properties, EMR wavelength regions and their applications
  • EMR-Atmospheric Interactions: Scattering, absorption, transmission, atmospheric windows
  • EMR-Earth Interactions: Concept of spectral signature and Spectral Reflectance Curves
  • Types of Remote Sensing: Passive and Active Remote Sensing
  • Sensors and Orbits: Types and characteristics of Sensors, types of sensor resolutions, types of satellite orbits, Specifications of some popular satellites- Earth Resources Satellites- Landsat, SPOT, IRS, Cartosat, IKONOS; and Meteorological Satellites- NOAA, INSAT, GOES 
13.00
Unit II: 
Thermal and Microwave remote sensing
  • Thermal Remote Sensing: concept of Blackbody and Emissivity, Physical Laws, Thermal Infrared Radiation properties, Thermal Infrared Atmospheric windows, Interaction of Thermal radiations with Earth surface, Thermal sensors and its application
  • Microwave Remote Sensing: Basic principles, Polarization, Spatial resolution, Radar Image Geometry, Radar Environmental considerations, Side Looking Radar (SLAR) and Synthetic Aperture Radar (SAR) system operation, Relief Displacement, shadows and Speckle effect, types of Microwave sensors and its application

 

12.00
Unit III: 
Aerial photography
  • Introduction: Historical development and Fundamentals of Aerial photography, Types of aerial photography, types of camera films
  • Scale, geometry and Ground coverage of aerial photography
  • Concept of Stereoscope, conditions for Stereoscopic vision, Image Parallax, Height determination from stereo-pairs

 

15.00
Unit IV: 
Image Interpretation and Digital Image Processing
  • Analog versus Digital image
  • Image Interpretation: Elements of Visual Image Interpretation, Ground truth and ground truthing equipments (Use of radiometers, computer printouts, Thematic maps)
  • Fundaments of Digital Image: Basic concept of Digital image, Digital Image data format, Colour concept and colour combinations
  • Image pre-processing: Atmospheric, Radiometric and Geometric Errors and correction, mosaicking
  • Image Classification: Unsupervised (Isodata, K-mean); and Supervised (Minimum Distance, Parallelepiped, Maximum Likelihood, Mahalanobis Distance) Classification systems

 

13.00
Unit V: 
GIS, GPS and Remote sensing
  • Geographic Information System (GIS): Definition, components of GIS, Variables (points, lines, polygon), GIS data (Spatial and Attribute data; Raster and Vector data), GIS softwares, file organization and formats, Advantages and limitations of GIS
  • Global Positioning System (GPS): Introduction, Satellite constellation, GPS segments, Errors, Factors affecting GPS Accuracy, NAVSTAR, GAGAN, IRNSS
  • Application of GIS, GPS and Remote sensing: Forest Resource Management, Air Quality Monitoring and Management, Water Quality management, Soil Quality Management, Wildlife studies, Resource conservation and Management, Urban/rural area planning and landuse, Disaster Mapping

 

Essential Readings: 

ESSENTIAL READINGS

  • Joseph, G. (2018). Fundamentals of Remote Sensing. Universities Press
  • Campbell, J.B., and Wynne, R. (2011). Introduction to Remote Sensing. Fifth Edition. The Guilford Press
  • 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.

SUGGESTED READINGS

  • Nandi, D. Dr. (2020). Fundamental of Remote Sensing and GIS. Kunal Books.
  • Emery, B., and Camps, A. (2017). Introduction to Satellite Remote Sensing: Atmosphere, Ocean, Land and Cryosphere Applications. 1st Edition.Elsevier
  • 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.
  • Lee, Jay and Wong, D.W.S. (2001).Statistical Analysis with ArcView GIS. New York. John Wiley & Sons, Inc.

 

References: 

e-RESOURCES

JOURNALS

  • Remote Sensing of Environment
  • International journal of Remote Sensing
  • Journal of Remote Sensing

 

 

Academic Year: 
2022-2023
  • Printer-friendly version
  • PDF version