Remote Sensing and GIS

Paper Code: 
SENV 601
Credits: 
04
Contact Hours: 
60.00
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

 

SENV 601

 

Remote Sensing and GIS

Upon completion of this course,

student will:

CO1      Analyse   the             principles and

components of aerial photogrammetry

and remote sensing and adequately

use    vocabulary,          terminology    and

nomenclature of the discipline.

CO2:    Perceive the characteristics of

electromagnetic    spectrum                            and                            its

interaction with atmosphere and earth

surface features.

CO3:  Compute an image visually and digitally using various digital image processing methods and techniques CO4:         Employ spatial and non-spatial data           features     in    GIS         for              map projections and coordinates system.

 

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

 

11.00
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, Active, Thermal and Microwave
  • 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

 

12.00
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

 

19.00
Unit III: 
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

 

10.00
Unit IV: 
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, Overview on concept of DBMS, RDBMS, and SDBMS for geo-data handling, Advantages and limitations of GIS
  • Global Positioning System (GPS): Introduction, Satellite constellation, GPS segments, Errors, Factors affecting GPS Accuracy, NAVSTAR, GAGAN, IRNSS

 

8.00
Unit V: 
Applications of Remote sensing and GIS
  • Application of GIS, GPS and Remote sensing in:
    • Forest Resource Management
    • Air Quality Monitoring and Management
    • Water resource management and hydrogeology
    • Soil Quality Management
    • Wildlife studies
    • Geology and Geomorphology
    • Urban/rural area planning and landuse
    • Disaster Management
  • ISRO Bhuvan Geo portal applications

 

Note: Practical exercises (related to the theory) will be conducted using GIS softwares (QGIS/ArcGIS Pro).

 

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.
  • Kaplan, Elliot D., and Christopher Hegarty. 2005. Understanding GPS: Principles and Applications, Second Edition. Artech.

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: 
2023-2024
  • Printer-friendly version
  • PDF version