Fundamentals of remote sensing, digital image data formats, image rectification and restoration techniques – geometric correction, radiometric correction and noise suppression, image histograms, density slicing, image enhancement techniques – contrast manipulation, spatial filtering and edge enhancement, multi-image manipulations – spectral ratioing, vegetation indices, principal components analysis, multi-spectral image classification involving supervised and unsupervised algorithms, Recent developments and applications.
Fundamentals of GIS, vector, raster and attribute data models, vector and raster data structure, spatial data input and editing, visualization and query of spatial data, spatial data transformations, spatial analysis, case studies of geological applications, current issues and trends in GIS. Principles of global positioning systems (GPS) and its applications.