Scribd
Upload
296 views2 pages

Remote Sensing Course Overview

The document provides information about a Remote Sensing course for final year B.Tech students. It outlines the teaching scheme with 3 hours of lectures per week and exam scheme with tests and an end-semester exam. The class has 60 students from eligible departments except E&TC. The course objectives are to familiarize students with remote sensing principles, data acquisition, and analysis of satellite data. The document describes 5 units that will be covered related to electromagnetic spectrum, data acquisition from different platforms, scattering systems, thermal and hyperspectral sensing, and data analysis techniques. Expected outcomes are for students to demonstrate understanding of remote sensing concepts, principles, and applications related to data collection, radiation, resolution, and sampling.

Uploaded by

mahesh
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
296 views2 pages

Remote Sensing Course Overview

The document provides information about a Remote Sensing course for final year B.Tech students. It outlines the teaching scheme with 3 hours of lectures per week and exam scheme with tests and an end-semester exam. The class has 60 students from eligible departments except E&TC. The course objectives are to familiarize students with remote sensing principles, data acquisition, and analysis of satellite data. The document describes 5 units that will be covered related to electromagnetic spectrum, data acquisition from different platforms, scattering systems, thermal and hyperspectral sensing, and data analysis techniques. Expected outcomes are for students to demonstrate understanding of remote sensing concepts, principles, and applications related to data collection, radiation, resolution, and sampling.

Uploaded by

mahesh
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 2

Remote Sensing

Class: Final year B.Tech Faculty:Prof.P.P.Shingare

Teaching Scheme Examination Scheme


Lectures : 3 hrs/week Test-1: 20 marks, Test-2: 20 marks
End-Sem Exam- 60 marks.

Eligible Department (Except E&TC) Strength of class: 60

Course Objectives:
The objective of the course is to
Familiarize about the principles of remote sensing and the data acquisition and analysis
of satellite data.

Unit 1 (07)
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.

Unit 2 (08)
Data Acquisition: Types of Platforms different types of aircrafts-Manned and Unmanned
spacecrafts sun synchronous and geo synchronous satellites Types and characteristics of
different platforms LANDSAT,SPOT,IRS,INSAT,IKONOS,QUICKBIRD etc Photographic
products, B/W, colour, colour IR film and their characteristics resolving power 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 (08)
Scattering System: Microwave scatterometry types of RADAR SLAR resolution - range
and azimuth real aperture and synthetic aperture RADAR. Characteristics of Microwave
imagestopographic 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 (08)
Thermal And Hyper Spectral Remote Sensing: Sensors characteristics - principle of
spectroscopy - 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.
1
Unit 5 (09)
Data Analysis: Resolution Spatial, Spectral, Radiometric and temporal resolution- signal to
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.

Text and Reference Books:


1. Lillesand T.M., and Kiefer, R.W. Remote Sensing and Image interpretation, John Wiley
& Sons-2000, 6th 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.
4. Paul Curran P.J. Principles of Remote Sensing, ELBS; 1995.
5. 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.
6. Sabins, F.F.Jr, Remote Sensing Principles and Image interpretation, W.H. Freeman & Co,
1978.

Course Outcomes:
After completing the course, students will demonstrate ability to
Provide knowledge and understanding of the basic concepts, principles and applications
of remote sensing, particularly the geometric and radiometric principles;
Provide examples of applications of principles to a variety of topics in remote sensing,
particularly related to data collection, radiation, resolution, and sampling.

You might also like