Subject Details
Dept     : AGRI
Sem      : 5
Regul    : 2019
Faculty : Dr V Uma
phone  : NIL
E-mail  : uma.v.agri@snsct.org
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Lecture Notes

UNIT 1:
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Introduction-Fundamentals of Remote Sensing-Definition, Advantages-Components
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Scattering-Rayleigh, Mie and Non-Selective Scattering
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Spectral Signature-Spectral reflectance characteristics of vegetation, soil and water
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Physics of Remote Sensing-Electro Magnetic Spectrum (EMR)
UNIT 2:
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Platforms-Types-Applications
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Sun synchronous and geo synchronous orbits- orbits-Active and Passive sensors
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METEOSAT, NOAA-ERS, RADARSAT
UNIT 3:
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Techniques- Digital Data-Ordering
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Techniques- Digital Data-Ordering
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Image classification-rectification-Supervised and Unsupervised
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Visual interpretation elements-Rating Scales
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Image processing-Image enhancement
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Vegetation Indices-Applications in soil mapping
UNIT 4:
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Definition-Concepts of GIS –Maps
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Data types- Raster and Vector-files and their organization
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Maps and their influences-Map scale-Projection-Coordinate system
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Buffering-map overlay-interpolation
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Buffering-map overlay-interpolation
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Output data-Devices for output
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Data Base Management System
UNIT 5:
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Land and Water resources Management
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Pollution abatement-Earth sciences
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Land and Water resources Management
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Watershed management
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Agriculture-Surface and Ground water hydrology