Department of Earth & Atmospheric Sciences

Shuhab Khan

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Current Courses - Remote Sensing (GEOL 6325)


Syllabus and Tentative Class Outline

Fall 2009, Mon 4.00-5.30 p.m., Wed. 2.30-4.00 & 4.00-5.30

Instructor: Dr. Shuhab D. Khan
Office Hours: 2:30-4.00 pm Monday

Teaching Assistant: Aziz Ozyavas (azizozyavas@yahoo.com)


Text: Remote Sensing of the Environment: An Earth Resource Perspective by J. Jensen, Prentice-Hall, 07


Recommended Books:

  • Remote Sensing and Image Interpretation, by Thoms M. Lillesand, Ralph Kiefer, and Jonathan Chipman, John Wiley and Sons, 2004.
  • Remote Sensing, by Stan Aronoff, ESRI Press, 2005.
  • Introductory Digital Image Processing: A Remote Sensing Perspective, John Jensen, Prentice-Hall, Inc. 2005.
  • Remote Sensing of Landscapes with Spectral Images A Physical Modeling Approach by John Adams and Alan Gillespie

Software: ENVI image processing software, ITT Visual Information Solutions.


Grading: Labs/homework assignments: 30%; Two exams: 40%; Final project and presentations: 25%; Class participation 5%

Schedule:

Week

Tentative Lecture Topics

Lab/Assignment

Aug 24/26

Introduction and history of remote sensing

Computer accounts/ENVI intro

Aug 31/ Sept 2

Electromagnetic radiations and energy interaction in the atmosphere; pixels; spatial and spectral resolution

Intro to spectroscopy

Sept 7

Labor Day Holiday

 

Sept 9

 

Image processing

Sept 14/16

Aerial Photography, color science, CORONA, NAPP etc


Examining multispectral imagery 

Sept 21/23

Multispectral and Hyperspectral remote sensing, Earth Resource Satellites, Landsat MSS, TM, ETM, ASTER, IKONOS, Quickbird

Hyperspectral lab1

Sept 28/30

SPOT, Indian Resource Satellite, AVIRIS; Hyperion, HyMap
Field methods in remote sensing

Hyperspectral lab2

Oct 5

Exam I

 

Oct 7

 

Hyperspectral lab2 contd

Oct 12/14

Calibration, Registration and Topographic Correction

Calibration, Registration and Topographic Correction

Oct. 19/21

Digital Image Processing, Classification, Mixed pixels and spectral unmixing methods

Spectral Unmixing

Oct 26/28

Thermal Infrared Remote Sensing

Thermal Infrared Lab

Nov 2/4

Introduction to Radar and Lidar

Radar Lab. 1

Nov 9/11

Interferometry; radar systems, SIR; SRTM; Radarsat, Envisat Seasat etc

Radar Lab 2.

Nov 16/18

Geological Applications of remote sensing

Work on project

Nov. 25

Thanksgiving holiday

 

Nov 23/30

Presentations

 

Dec 2

Exam II/ Project due

 

 

 
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