EC2052 REMOTE SENSING L T P C
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UNIT I REMOTE SENSING 9
Definition – Components of Remote Sensing – Energy, Sensor, Interacting Body - Active
and Passive Remote Sensing – Platforms – Aerial and Space Platforms – Balloons,
Helicopters, Aircraft and Satellites – Synoptivity and Repetivity – Electro Magnetic
Radiation (EMR) – EMR spectrum – Visible, Infra Red (IR), Near IR, Middle IR, Thermal
IR and Microwave – Black Body Radiation - Planck’s law – Stefan-Boltzman law.
UNIT II EMR INTERACTION WITH ATMOSPHERE AND EARTH MATERIALS
9
Atmospheric characteristics – Scattering of EMR – Raleigh, Mie, Non-selective and
Raman Scattering – EMR Interaction with Water vapour and ozone – Atmospheric
Windows – Significance of Atmospheric windows – EMR interaction with Earth Surface
Materials – Radiance, Irradiance, Incident, Reflected, Absorbed and Transmitted Energy
– Reflectance – Specular and Diffuse Reflection Surfaces- Spectral Signature – Spectral
Signature curves – EMR interaction with water, soil and Earth Surface:Imaging
spectrometry and spectral characteristics.
UNIT III OPTICAL AND MICROWAVE REMOTE SENSING 9
Satellites - Classification – Based on Orbits and Purpose – Satellite Sensors -
Resolution – Description of Multi Spectral Scanning – Along and Across Track Scanners
– Description of Sensors in Landsat, SPOT, IRS series – Current Satellites - Radar –
Speckle - Back Scattering – Side Looking Airborne Radar – Synthetic Aperture Radar –
Radiometer – Geometrical characteristics ; Sonar remote sensing systems.
UNIT IV GEOGRAPHIC INFORMATION SYSTEM 9
GIS – Components of GIS – Hardware, Software and Organisational Context – Data –
Spatial and Non-Spatial – Maps – Types of Maps – Projection – Types of Projection -
Data Input – Digitizer, Scanner – Editing – Raster and Vector data structures –
Comparison of Raster and Vector data structure – Analysis using Raster and Vector
data – Retrieval, Reclassification, Overlaying, Buffering – Data Output – Printers and
Plotters
UNIT V MISCELLANEOUS TOPICS 9
Visual Interpretation of Satellite Images – Elements of Interpretation - Interpretation Keys
Characteristics of Digital Satellite Image – Image enhancement – Filtering –
Classification - Integration of GIS and Remote Sensing – Application of Remote Sensing
and GIS – Urban Applications- Integration of GIS and Remote Sensing – Application of
Remote Sensing and GIS – Water resources – Urban Analysis – Watershed
Management – Resources Information Systems. Global positioning system – an
introduction.
TOTAL= 45 PERIODS
TEXT BOOKS
1. M.G. Srinivas(Edited by), Remote Sensing Applications, Narosa Publishing House,
2001. (Units 1 & 2).
2. Anji Reddy, Remote Sensing and Geographical Information Systems, BS
Publications 2001 (Units 3, 4 & 5).
REFERENCES
1. Jensen, J.R., Remote sensing of the environment, Prentice Hall, 2000.
2. Kang-Tsung Chang,”Introduction to Geograhic Information Systems”, TMH, 2002
3. Lillesand T.M. and Kiefer R.W., “Remote Sensing and Image Interpretation”, John
Wiley and Sons, Inc, New York, 1987.
4. Burrough P A, “Principle of GIS for land resource assessment”, Oxford
5. Mischael Hord, "Remote Sensing Methods and Applications", John Wiley & Sons,
New York, 1986.
6. Singal, "Remote Sensing", Tata McGraw-Hill, New Delhi, 1990.
7. Floyd F. Sabins, Remote sensing, “Principles and interpretation”, W H Freeman and
Company 1996.
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