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.

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.

Activities of image interpretation-Elements-Techniques- Digital Data-Ordering- Visual interpretation elements-Rating Scales-Image processing-Image enhancement- Image classification-rectification-Supervised and Unsupervised, maximum likelihood analysis-minimum distance – Vegetation Indices-Applications in soil mapping-problem soil identification- Soil erosion and sedimentation studies- Water quality analysis

Definition-Concepts of GIS –Maps and their influences-Map scale-Projection-Coordinate system- sources of spatial data- basic component - Standard GIS packages- Data types- Raster and Vector-files and their organization-Data Base Management System-digitizer- reclassification-Spatial analysis- Buffering-map overlay-interpolation-Digital Elevation Model-output data-Devices for output

Land and Water resources Management-Agriculture-Surface and Ground water hydrology-Soil erosion assessment-Pollution abatement-Earth sciences- Watershed management