UNIT 1:
Introduction-Fundamentals of Remote Sensing-Definition, Advantages-Components
Physics of Remote Sensing, Electro Magnetic Spectrum(EMR)-Radiation laws
Wave theory-Stefan-Boltzmann Laws
Interaction of EMR with Atmosphere- Scattering, Rayleigh, Mie and Non-Selective scattering
Absorption, Atmospheric windows-interaction of EMR with Earth objects
Spectral signature-Spectral reflectance characteristics of vegetation, soil and water
UNIT 2:
Platforms-Types-Applications
Sun synchronous and geo synchronous orbits-Active and Passive sensors
Resolution-Spatial, Spectral, Radiometric and Temporal, significance of Resolution
Satellites and Sensors- LANDSAT, SPOT, IRS, RESOURCESAT, CARTOSAT
LISS Images, Thematic Mapper, High Resolution commercial satellites
METEOSAT,NOAA-ERS, RADARSAT
UNIT 3:
Digital Data-Ordering, Visual interpretation elements
Image classification-rectification-Supervised and Unsupervised, maximum likelihood analysis
Rating Scales, Image processing-Image enhancement
Activities of image interpretation-Elements, Techniques
Minimum distance, Vegetation Indices-Applications in soil mapping, problem soil identification
Soil erosion and sedimentation studies, water quality analysis
UNIT 4:
Definition-Concepts of GIS, Maps and their influences
Map scale-Projection-Coordinate system, sources of spatial data
Digitizer- reclassification, Spatial analysis
Basic component, standard GIS packages
Data types- Raster and Vector-files and their organization, Data Base Management System
Buffering-map overlay, interpolation-Digital Elevation Model-output data-devices for output
UNIT 5:
Land and Water resources management
Surface and Ground water hydrology
Earth sciences, watershed management
