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Remote Sensing and GIS (OE7302)
L-T-P-CR: 3-0-0-3
Pre-requisite: No
Objective: To know about the principles of remote sensing and spectral signatures and about satellites, types
of remote sensing and digital image processing. To know the applications of remote sensing and
GIS for various applications of Civil Engineering
Theory:
1. Remote Sensing – Principle - Electro-magnetic energy, spectrum – Spectral Signature and Spectral
Signature curves for water, soil and Earth Surface, Atmospheric Windows and its Significance
8 Lectures
2. Satellites - Classification – sensor platforms - Resolution – Types of Remote Sensing - Visual
Interpretation of Images.
5 Lectures
3. Digital Image Fundamentals – Image pre-processing – Image processing.
10 Lectures
4. GIS - Components of GIS – Hardware, Software, Data – Spatial and Non-Spatial – Data Input
Sources–– DBMS – Data Output - Data models - Raster and Vector data structures
5 Lectures
5. Basics of Geodesy and Scale, Ellipsoid, Horizontal Datum, Vertical Datum, Map Projection,
Coordinate System
8 Lectures
6. Applications of Remote Sensing and GIS – Environments, Transportation, Structural Health
Monitoring, Water Resources Management
8 Lectures
Expected Outcome:
On completion of the course, the students will be able to: Apply the concepts of GIS, Remote Sensing and
Digital Image Processing to possible areas of Civil Engineering.
Recommended Books:
1. Stephen R. Galati, Geographic Information Systems Demystified, ARTECH HOUSE, INC. 685
Canton Street Norwood, MA 02062, London, 2006
2. C.P. Lo and Albert K. W. Yeung, Concepts and Techniques of Geographical Information Systems,
Prentice- Hall India, 2006.
3. Thomas. M. Lillesand and Ralph. W. Kiefer, Remote Sensing and Image Interpretation, John Wiley
and Sons, 2003.
4. P. S. Roy, Dr. R.S. Dwivedi and D.Vijayan, Remote Sensing Applications, NRSC, ISRO.
5. Qihao Weng, Remote Sensing and GIS Integration, McGraw-Hill, 2010
6. Yang Hong, Yu Zhang and Sadiq Ibrahim Khan, Hydrologic Remote Sensing, CRC Press, Taylor &
Francis Group, 2016
7. Burrough P.A. and Rachel A. McDonell, Principles of Geographical Information Systems, Oxford
Publication, 2004.

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Remote Sensing and GIS (OE7302

  • 1. Remote Sensing and GIS (OE7302) L-T-P-CR: 3-0-0-3 Pre-requisite: No Objective: To know about the principles of remote sensing and spectral signatures and about satellites, types of remote sensing and digital image processing. To know the applications of remote sensing and GIS for various applications of Civil Engineering Theory: 1. Remote Sensing – Principle - Electro-magnetic energy, spectrum – Spectral Signature and Spectral Signature curves for water, soil and Earth Surface, Atmospheric Windows and its Significance 8 Lectures 2. Satellites - Classification – sensor platforms - Resolution – Types of Remote Sensing - Visual Interpretation of Images. 5 Lectures 3. Digital Image Fundamentals – Image pre-processing – Image processing. 10 Lectures 4. GIS - Components of GIS – Hardware, Software, Data – Spatial and Non-Spatial – Data Input Sources–– DBMS – Data Output - Data models - Raster and Vector data structures 5 Lectures 5. Basics of Geodesy and Scale, Ellipsoid, Horizontal Datum, Vertical Datum, Map Projection, Coordinate System 8 Lectures 6. Applications of Remote Sensing and GIS – Environments, Transportation, Structural Health Monitoring, Water Resources Management 8 Lectures Expected Outcome: On completion of the course, the students will be able to: Apply the concepts of GIS, Remote Sensing and Digital Image Processing to possible areas of Civil Engineering. Recommended Books: 1. Stephen R. Galati, Geographic Information Systems Demystified, ARTECH HOUSE, INC. 685 Canton Street Norwood, MA 02062, London, 2006 2. C.P. Lo and Albert K. W. Yeung, Concepts and Techniques of Geographical Information Systems, Prentice- Hall India, 2006. 3. Thomas. M. Lillesand and Ralph. W. Kiefer, Remote Sensing and Image Interpretation, John Wiley and Sons, 2003. 4. P. S. Roy, Dr. R.S. Dwivedi and D.Vijayan, Remote Sensing Applications, NRSC, ISRO. 5. Qihao Weng, Remote Sensing and GIS Integration, McGraw-Hill, 2010 6. Yang Hong, Yu Zhang and Sadiq Ibrahim Khan, Hydrologic Remote Sensing, CRC Press, Taylor & Francis Group, 2016 7. Burrough P.A. and Rachel A. McDonell, Principles of Geographical Information Systems, Oxford Publication, 2004.