Subject Code: ES5L205 Subject Name: Remote Sensing and GIS L-T-P: 3-0-0 Credit: 3
Pre-requisite(s): Nil
Fundamentals of remote sensing, Photogrammetry, digital image data formats, image rectification and restoration techniques,  image histograms, density slicing, image enhancement techniques – contrast manipulation, spatial filtering and edge enhancement, multi-image manipulations, principal components analysis, multi-spectral image classification.  Hyper spectral image analyses, Optical/Thermal/Microwave/Acoustic Remote Sensing.
Remote Sensing (RS) Applications in Terrestrial & Environmental Sciences, Ocean & Marine Sciences, Atmospheric Sciences & Climate Sciences.
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
Text/ Reference Books:
  1. F. S. Sabins,Remote Sensing: Principles and Interpretation, Waveland Pr Inc.
  2. Paul Bolstad, GIS Fundamentals: A First Text on Geographic Information Systems: Eider Press.
  3. Paul. R. Wolf, Bon. A. Dewitt, Elements of Photogrammetry with Applications in GIS, McGraw-Hill Education (India) Pvt. Limited.
  4. John R. Jensen, Introductory digital image processing: a remote sensing perspective: Prentice Hall, New Jersey.