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Course Co-ordinated by IISc Bangalore
Coordinators
 
Dr. D. Nagesh Kumar
IISc Bangalore

 

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Acknowledgement
 
ACKNOWLEDGEMENTS I wish to acknowledge the excellent help provided by my doctoral student, Ms. J. Indu in developing modules 3, 5, 9 and also for the first lectures of modules 4 and 6 of this project, as Teaching Assistant. I also would like to thank Dr T.V. Reshmidevi, who worked with me as a Post Doctoral Fellow (PDF) (presently working as Assistant Professor in Dept of Civil Engg., BMS College of Engg., Bangalore-19) for her help in developing all other modules and also for the overall coordination. They have developed number of example & exercise problems, many PPT slides and related material. I would not have completed this work without their untiring efforts. Over the number of years of teaching this course in IIT, Kharagpur and in IISc, Bangalore, I have benefited by referring to the books, ‘Remote Sensing and Image Interpretation’ by T.M. Lillesand and R.W. Kiefer, John Wiley & Sons, 2002; ‘Remote Sensing – Principles and Interpretation’, by F.F. Sabins Jr, W.H. Freeman & Co., USA, 1986; ‘Remote Sensing – Models and Methods for Image Processing’, by R.A. Schowengerdt, Elsevier-India, 2006; ‘Introductory Digital Image Processing’ by J.R. Jensen, Prentice Hall, USA, 1996; ‘Computer Processing of Remotely Sensed Images’, by P.M. Mather, Wiley & Sons, 2004 and ‘Introductory Remote Sensing’ by P.J. Gibson and C.H. Power, Routledge, 2000. To develop the course material, considerable information (including some images and illustrations) were obtained from public domain sources in the internet. I wish to sincerely acknowledge these sources.

Untitled Document
 

Introduction, Basic concepts of remote sensing, Energy sources and radiation principles, Energy interactions with atmosphere and earth surface features, Spectral reflectance curves, Polar orbiting satellites, Spectral, radiometric and spatial resolutions, Multispectral, thermal and hyperspectral sensing.

Digital Image Processing - Image restoration, Image enhancement and Information extraction, Image processing software, Digital Elevation Modeling, Sources of digital elevation data, Shuttle Radar Topographic Mission (SRTM) data, DEM for Slope, Aspect, Flow direction, Flow pathways, Flow accumulation, Streams, Catchment area delineation, Remote sensing applications for watershed management, Rainfallrunoff modeling, Irrigation management, Flood mapping, Drought assessment, Environment and ecology, Advanced Topics - Microwave remote sensing, sources of microwave data, Global positioning System (GPS).

 

Module

Sub-Module

Hours for Sub-Module

Total
Hours

1. Introduction and Basic Concepts

Introduction, Basic concepts of remote sensing, Airborne and space born sensors, Passive and active remote sensing

1

5

EMR Spectrum, Energy sources and radiation principles

1

Energy interactions in the atmosphere

1

Energy interactions with earth surface features, Spectral reflectance curves

2

2. Remote Sensing Systems

Satellites and orbits, Polar orbiting satellites

1

5

Spectral, radiometric and spatial resolutions, Temporal resolution of satellites

2

Multispectral, thermal and hyperspectral sensing.

1

Some remote sensing satellites and their features

1

3. Digital Image Processing - Image Restoration

Geometric corrections

1

3

Co-registration of Data, Ground Control Points (GCP)

1

Atmospheric corrections, Solar illumination corrections

1

4. Digital Image Processing - Image Enhancement

Concept of color, Color composites

1

5

Contrast stretching – linear and non-linear stretching

2

Filtering techniques, Edge enhancement

1

Density slicing, Thresholding, Intensity-Hue-Saturation (IHS) images, Time composite images, Synergetic images.

1

5. Digital Image Processing - Information Extraction

Multispectral classification, Ground truth collection

1

5

Supervised and unsupervised classification

2

Change detection analysis, Principal component analysis

1

Ratio images, Vegetation indices

1

6. Digital Image Processing Software

Image processing software, Multispectral classification algorithms

1

2

Image processing using MATLAB

1

7. Digital Elevation Modeling

Introduction, Sources of digital elevation data, Types of DEM

1

5

Radar interferometry, Shuttle Radar Topographic Mission (SRTM) data

2

DEM for Slope, Aspect, Flow direction, Flow pathways, Flow accumulation, Streams, Catchment area delineation

2

8. Remote Sensing Applications

Watershed management

1

7

Rainfall-runoff modeling

1

Irrigation management

1

Flood mapping

1

Drought assessment

1

Environmental monitoring

1

Other applications

1

9. Advanced Topics

Microwave remote sensing, sources of microwave data

1

3

Global positioning System (GPS), GPS for ground truth collection.

2

 

Total

40

 

  1. 'Remote Sensing and Image Interpretation', T.M. Lillesand and R.W. Kiefer, John Wiley & Sons, Singapore, 2002.

  2. 'Introduction to Remote Sensing', J.B. Cambell, Taylor & Francis, UK, 2002.

  3. 'Remote Sensing - Principles and Interpretation', F.F. Sabins Jr, W.H. Freeman & Co., New York, 1986.

  4. 'Remote Sensing - Models and Methods for Image Processing', R.A. Schowengerdt, Elsevier India Pvt. Ltd., New Delhi, 2006.


  1. http://civil.iisc.ernet.in/~nagesh/rs_gis.htm

  1. 'Introduction to Remote Sensing - Principles and Concepts' by Paul J Gibson, Routledge - Taylor & Francis, 2000.

  2. 'Introduction to Remote Sensing - Digital Image Processing and Applications' by Paul J Gibson and Clare H Power, Routledge - Taylor & Francis, 2000.



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