Syllabus
Introduction, definition, history of satellite remote sensing, Satellite sensors : Orbits and Platforms for Earth observation, sensors and scanners, active and passive sensors.
Electromagnetic spectrum, radiation laws, The Radiative Transfer Equation, interaction with atmosphere, interaction with surfaces, Spectral Response and Spectral Signature, Spectral, Spatial, Temporal and Radiometric resolutions.??
Optical imagery : spectral sensitivity, band combinations, Imaging systems, Photogrammetry – geometry of aerial photographs, projections, scale, relief displacement, parallax, stereoscopy, co-ordinate systems, transformations, orientations, triangulation, DEM, DSM, DTM, orthophoto.
?Digital image processing – digital image formats, image histograms, Image pre-processing, corrections; image enhancements – contrast enhancement, density slicing, spatial filtering, spectral enhancement, PCA ; Image classification – supervised, unsupervised and hybrid techniques; visual image interpretation.
?Thermal Remote Sensing: thermal sensors, thermal image interpretation, emissivity, thermal inertia, applications of thermal remote sensing.
Commonly used multi-spectral remote sensing satellite systems : LANDSAT, SPOT, ENVISAT, RADARSAT, IRS, IKONOS, SENTINEL Family, RISAT, RESOURCESAT etc??
Skills acquired : Acquire and perform basic processing of multispectral remote sensing images, understanding of various satellite sensors and their applications