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• To understand the current remote sensing system, Digital Image
processing and Integration.
format and extortion, image classification techniques, image analysis and
interpretation.
MODULE I - INTRODUCTION AND CONCEPTS
Introduction of Remote Sensing; Principles of RS-Types, Pixel, DN value, Energy sources and Radiation principles, Energy equation, EMR and Spectrum, EMR interaction with Atmosphere- scattering, Absorption, Atmospheric window, Black body radiation, EMR interaction with earth surface features; reflection, absorption, emission and transmission, Spectral signature, Interaction with vegetation, soil, water bodies , Advantage of RS over conventional method; Limitation, Ideal remote sensing.
Practice:
1. Installation of Image Processing software’s
2. Layer stacking
3. LUT
4. Subset
Module – II Data acquisition
Procedure, Reflectance and Digital numbers; Intensity, Reference data, Ground truth, Analog to digital conversion, FCCs, TCC, Platforms and sensors; orbits, types, Resolutions; types, Image Interpretation; visual- Interpretation keys.
Practice:
1. FCCs and TCC
2. Resolution
3. Image Interpretation
Module – III SATELLITE AND ITS USE
Land observation satellites; characters and applications, PSLV, GSLV, LANDSAT series; IRS series; IKONOS Series; QUICKBIRD series; Weather/Meteorological satellites; INSAT series; NOAA, Applications; Marine observation satellites, OCEANSAT
Practice:
1. Download satellite data from GLOVIS / Earth Explorer / Bhuvan etc.
2. Mosaicking
Module – IV TYPES OF REMOTE SENSING
Remote Sensing and its types; Active, Passive, Optical Remote sensing, visible, infrared, thermal, sensors and characters. Thermal RS, Microwave remote sensing Sensors; Concept of Microwave remote sensing, SLAR, SAR Scattrometers, Altimeter, Characteristics, Image interpretation characters.
Text Books
1. Remote sensing & Image interpretation, THOMAS M. LILLESAND AND RALPH W. KIEFER, JOHN WILEY & SONS, INC. PUBLISHERS.
2. Remote sensing & GIS, B.Bhatta, OXFORD UNIVERSITY PRESS.
3. Remote Sensing principle & application, FLOYDIF SABINS, W.H FREEMAN & COMPANY, NEWYORK.
4. FUNDAMENTALS OF DIGITAL IMAGE PROCESSING, ANIL K JAIN, JAIN, Prentice Hall, New Delhi.
5. DIGITAL IMAGE PROCESSING, ABHISHEK YADAV,POONAM YADAV, OSCAR PUBLICATION, DELHI
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Dr. Kamal Kumar Barik is presently working as Associate Professor, Dept. of Civil Engineering, CUTM, Bhubaneswar Campus. He did his Ph.D. at SRM University, Chennai in the field of Remote Sensing and GIS. He has been more than 8 years of teaching experience at Post Graduate level (M.Sc. and M.Tech.). Previously he was served as […]
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