geometric and radiometric principles;
CO2	Provide examples of applications of principles to a variety of topics in remote sensing, particularly related to data collection, radiation, resolution, and sampling.
CO3	Understand Microwave Scattering and Imaging System
CO4	Understand Concepts of Thermal and Hyper Spectral Remote Sensing

## Unit 1

Physics Of Remote Sensing: Electro Magnetic Spectrum, Physics of Remote Sensing-Effects of Atmosphere- Scattering - Different types - Absorption-Atmospheric window-Energy interaction with surface features - Spectral reflectance of vegetation, soil and water atmospheric influence on spectral response patterns-multi concept in Remote sensing.Data Acquisition: Types of Platforms - different types of aircrafts-Manned and Unmannedspacecrafts - sun synchronous and geo synchronous satellites - Types and characteristics of different platforms - LANDSAT,SPOT,IRS,INSAT,IKONOS,QUICKBIRD etc.

## Unit 2

Photographic products, B/W, color, color IR film and their characteristics - resolvingpower of lens and film -Opto mechanical electro optical sensors - across track and along track scanners-multispectral scanners and thermal scanners - geometric characteristics of scanner imagery -calibration of thermal scanners.

## Unit 3

Scattering System: Microwave scatterometry, types of RADAR - SLAR - resolution - range and azimuth - real aperture and synthetic aperture RADAR. Characteristics of Microwave images topographic effect-different types of Remote Sensing platforms - airborne and space borne sensors -ERS, JERS, RADARSAT, RISAT - Scatterometer, Altimeter-LiDAR remote sensing, principles, applications.

## Unit 4

Thermal and Hyper Spectral Remote Sensing: Sensors characteristics-principle ofspectroscopy-imaging spectroscopy - field conditions, compound spectral curve, Spectral library, radiative models, processing procedures, derivative spectrometry, thermal remote sensing - thermal sensors, principles, thermal data processing, applications.Data Analysis: Resolution - Spatial, Spectral, Radiometric and temporal resolution- signalto noise ratio-data products and their characteristics-visual and digital interpretation - Basic principles of data processing - Radiometric correction - Image enhancement - Image classification - Principles of LiDAR, Aerial Laser Terrain Mapping.

## References:

- 1) Lillesand T.M., and Kiefer,R.W. Remote Sensing and Image interpretation, John Wiley & Sons- th 2000, 6 Edition
- 2) John R. Jensen, Introductory Digital Image Processing: A Remote Sensing Perspective, 2nd Edition, 1995.
- 3) John A.Richards, Springer - Verlag, Remote Sensing Digital Image Analysis,1999. Paul Curran P.J. Principles of Remote Sensing, ELBS; 1995.
- 4) Charles Elachi and Jakob J. van Zyl , Introduction To The Physics and Techniques of Remote Sensing , Wiley Series in Remote Sensing and Image Processing, 2006.
- 5) Sabins, F.F.Jr, Remote Sensing Principles and Image interpretation, W.H.Freeman& Co, 1978.

MTOE-201A	Business Analytics
Lecture	Tutorial	Practical	Credit	Major Test	Minor Test	Total	Time
3	0	0	3	60	40	100	3 Hrs.
Program Objective (PO)	The main objective of this course is to give the student a comprehensive understanding of business analytics methods.
Course Outcomes (CO)
CO1	Able to have knowledge of various business analysis techniques.