Course Details
Subject {L-T-P / C} : MN6031 : Remote Sensing and GIS for Mining Applications { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Prof. Amit Kumar Gorai
Syllabus
Electromagnetic Radiation – Characteristics and Remote Sensing Regions and bands Aerial photos – types, scale, resolution properties of aerial photos, stereoscopic parallax, Relief displacement General Orbital characteristics of remote sensing satellites General sensor characteristics of remote sensing satellites Spectra of common natural objects – soil, rock, water and vegetation. Characteristics of remote sensing data Pre-processing of remotely sensed data Enhancements, Classification, Elements of photo and imagery interpretation, Different types of remote sensing: Thermal remote sensing, Microwave remote sensing, Radar remote sensing, etc., Principles and Components of GIS, Application of remote sensing and GIS in engineering geology, land subsidence, hydrogeology, mineral exploration, mine reclamation, mine fire detection, environmental impact assessment, mapping surface moisture and rock types.
Course Objectives
- The objective of the course is to learn the use Remote sensing and GIS for mining research.
Course Outcomes
CO1: Understand the application of remote sensing data for mining. <br />CO2: Learn the method of processing of remote sensing images. <br />CO3: Learn the GIS software for processing and visualization of images.
Essential Reading
- T.M. Lillesand, R.W. Kiefer, J.W. Chipman, Remote Sensing and Image Interpretation, John Wiley and Sons , 2014
- R.C. Gonzalez, R.E. Woods, Digital Image Processing, Addison-Wesley Publishing Company , 1992
Supplementary Reading
- S.A. Drury, A Guide to Remote Sensing: Interpreting Images of the Earth, Oxford University Press , 1990
- B.Tso, P.M Mather, Classification Methods for Remotely Sensed Data, Taylor & Francis , 2001