GEOP 491/595
Xiaobing Zhou, Associate Professor
of Geophysics
Lecture: Monday/Wednesday1:00pm - 1:50pm at
ELC329
Lab: Friday 12:00pm-3:00pm at ELC 315
Instructor: Xiaobing Zhou, Email: xzhou@mtech.edu,
Tel: 496-4350
Office Hours: Monday/Wednesday/Friday 4:00pm-5:00pm, ELC 304
Textbooks:
Sabins, F. F., 2007. Remote Sensing: Principles and Interpretation,
3rd Ed., published by Waveland Press Inc.,
Long Grove, Illinois.
Kang-tsung (Karl)
Chang, 2010. Introduction
to Geographic Information Systems with
Data Files CD-ROM, 5th Ed., published by McGraw
Hill Higher Education.
Recommended References:
Victor
Mesev, 2008. Integration of GIS and
Remote Sensing, John
Wiley & Sons, ISBN 0470864095.
Jensen,
J. R., 2007. Remote Sensing of the
Environment: An Earth Resource
Perspective, Prentice
Hall, ISBN-10:
0131889508; ISBN-13: 9780131889507.
Lillesand, T. M., R. W. Kiefer, J. W. Chipman, 2004. Remote Sensing
and Image Interpretation, 5th Edition. John Wiley & Sons, Inc., New
York.
Theobald, D. M., 2007. GIS Concepts and ArcGIS Methods, 3rd Edition for
ArcGIS 9.2, ISBN: 0-9679208-4-1.
Rees, W. G., 2001. Physical Principles of Remote Sensing, 2nd Ed.,
Cambridge University Press.Cambridge, UK.
Jensen, J. R., 1996. Introductory Digital Image Processing: A Remote
Sensing Perspective, 2nd Ed., Prentice Hall, New Jersey.
Campbell, J. B., 2002. Introduction to Remote Sensing, 3rd Ed.,
Guilford
Press, New York.
USGS Earthshots http://edcwww.cr.usgs.gov/earthshots/slow/tableofcontents
Remote Senisng Digital Lectures by Dr. dr.ir. Jan Clevers at http://levis.sggw.waw.pl/Rsbasics/overview.htm
.
Useful websites:
Grade Policy: The
final grade for the course will be determined
approximately as follows:
Homework: 20%
Lab: 20%
Midterm exam:
25%
Final exam, 35% or Project (35%).
The
instructor
reserves the right to give extra credit to active participation (both
lecture
and lab) and demonstrated interest and capability. Grading scale
observes:
A=(92,100], A-=[90, 92], B+=(87, 90), B=[83, 87], B-=[80, 83), C+=(77,
80), C=[73, 77], C-=[70, 73), D+=(67, 70), D=[63, 67], D-=[60, 63),
F=[0,
60). [ or ] means inclusive, ( or ) means exclusive.
Homework: Homework will be assigned on Tuesday (or Thursday)
and due the following Tuesday(or Thursday).
Synthetic Aperture Radar (SAR) glossary:
1. RADAR
and SAR Glossary from Advanced Synthetic Aperture Radar (ASAR)
instrument
on board the ENVISAT satellite
2. InSAR
glossary from Alaska Satellite Facility
Tentative Schedule:
| Date | Day | Lecture/Lab No. | Topic | Homework Read assignment |
| Agu-23-10 Agu-25-10 Agu-27-10 |
Monday Wednesday Friday |
Lecture 1 Lecture 2 Lab 1 |
Introduction to Remote Sensing Electromagnetic radiation I Raster and vector data sources |
Chapter 1 Chapter 8 |
| Agu-30-10 Sep-01-10 Sep-03-10 |
Monday Wednesday Friday |
Lecture 3 Lecture 4 Lab 2 |
Electromagnetic radiation II Radiation-material interaction I Introduction to ERDAS Imagine –display of images |
Homework 1 Chapter 1 |
| Sep-06-10 Sep-08-10 Sep-10-10 |
Monday Wednesday Friday |
No class Lecture 5 Lab 3 |
Labor day Radiation-material interaction II Image Import and Information Extraction |
Homework 2 Chapter 5 |
| Sep-13-10 Sep-15-10 Sep-17-10 |
Monday Wednesday Friday |
No class Lecture 6 Lab 4 |
Economic
development summit Atmospheric Effects Spectral, Spatial and Surface Profiles |
Homework 3 Chapters 2 |
| Sep-20-10 Sep-22-10 Sep-24-10 |
Monday Wednesday Friday |
Lecture 7 Lecture 8 Lab 5 |
Spectral Signature I: Spectral Signature II Creation and Manipulation of AOI |
Homework 4 Chapter 3 |
| Sep-27-10 Sep-29-10 Oct-01-10 |
Monday Wednesday Friday |
Lecture 9 Lecture 10 Lab 6 |
Multiple Spectral Remote Sensing I Multiple Spectral Remote Sensing II Map Composition from Image |
Homework 5 Handout |
| Oct-04-10 Oct-06-10 Oct-08-10 |
Monday Wednesday Friday |
Lecture 11 Lecture 12 Midterm exam |
Multiple Spectral Remote Sensing III Electro-Optical Systems I |
omework 6 Chapter 4 |
| Oct-11-10 Oct-13-10 Oct-15-10 |
Monday Wednesday Friday |
Lecture 13 Lecture 14 Lab 7 |
Electro-Optical Systems II Sensors (1) Image Enhancement 1 |
Homework 7 Chapter 6 |
| Oct-18-10 Oct-20-10 Oct-22-10 |
Monday Wednesday Friday |
Lecture 15 Lecture 16 Lab 8 |
Sensors (2) Satellite Platforms (1) Image Enhancement 2 |
Homework 8 |
| Oct-25-10 Oct-27-10 Oct-29-10 |
Monday Wednesday Friday |
Lecture 17 Lecture 18 Lab 9 |
Satelite Platforms (2) Image Processing I: Unsupervised Classification + Project Arrangement Image Classification |
|
| Nov-01-10 Nov-03-10 Nov-05-10 |
Monday Wednesday Friday |
Lecture 19 Lecture 20 Lab 10 |
Image Processing II: Supervised Classification Imaging Processing III: Rectification Polynomial Rectification |
Homework 9 Chapter 7 |
| Nov-08-10 Nov-10-10 Nov-12-10 |
Monday Wednesday Friday |
Lecture 21 Lecture 22 Lab 11 |
Hyperspectral remote sensing Introduction to Radar Data display and cartography in ArcGIS |
Homework 10 Handout Chapter 12 |
| Nov-15-10 Nov-17-10 Nov-19-10 |
Monday Wednesday Friday |
Lecture 23 Lecture 24 Lab 12 |
Radar Technology Radar Imaging Systems Spectral analysis (1) |
Homework 11 Chapter 9 |
| Nov-22-10 Nov-24-10 Nov-26-10 |
Monday Wednesday Friday |
Lecture 25 No class No class |
Radar image intepretation Thanksgiving break Thanksgiving break |
Handout Homework 12 Project |
| Nov-29-10 Dec-01-10 Dec-03-10 |
Monday Wednesday Friday |
Lecture 26 Lecture 27 Lab 13 |
Introduction to GIS Spatial data analysis (1) Spatial analysis (2) |
Handout Homework 12 Project |
| Dec-06-10 Dec-08-10 Dec-10-10 |
Monday Wednesday Friday |
Lecture 28 Lecture 29 Final |
Spatial data analysis (2) Integration of RS and GIS |
Project |
|
Last Updated: August 8, 2010 |
