Course Objectives

• 
  • To understand the Basic Principles of Remote Sensing and Techniques.

  • To understand the current remote sensing system, Digital Image
  processing and Integration.

Learning Outcomes

• • Students will gather knowledge in concepts of remote sensing, aerialphotography and photogrammetry, different satellites and its application, image

  format and extortion, image classification techniques, image analysis and

  interpretation.

Course Syllabus

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

Session Plan

Session 1

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Session 2

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Case Studies

Case Studies