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Remote Sensing

a
Course
Postgraduate
Semester
Electives
Subject Code
AVR869
Subject Title
Remote Sensing

Syllabus

Remote sensing: definiion, 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 - Planc ’s law – Stefan Boltzman law. EMR interaction with atmosphere and earth materials: 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. Optical and Microwave remote sensing: 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. Geographic information systems: 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 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.

Text Books

Same as Reference

References

1. Remote sensing of the environment, Jensen, J.R., Prentice Hall, 2000.

2. Remote Sensing and Image Interpretation, Lillesand T.M. and Kiefer R, John iley and Sons, Inc, New York, 1987.

3. Singal Remote Sensing, Tata McGraw-Hill, New Delhi, 1990.

4. Fundamentals of remote sensing, George Joseph, Universities Press.

5. Remote Sensing Methods and Applications, Mischael Hord, John Wiley & Sons, New York, 1986

Course Outcomes (COs):
CO1: Describe Remote Sensing Systems and programs (sensors, platforms, etc.) and assess its potential for spatial analysis.

CO2: Choose and select methods to improve, correct and interpret Remote Sensing Images

CO3: Determine applications of remotely sensed data for monitoring and managing various natural resources

CO4: Apply a range of geospatial analysis techniques using remote sensing and GIS tools toward solving quantitative problems in one or more core disciplinary areas such as geography, ecology, environmental sciences, biogeosciences, urban planning or natural resources management.