GEOP 4950/5950
Xiaobing Zhou, Assistant Professor
of Geophysics
Lecture: Tuesday 10:00am - 10:50am; /Thursday 10:00am-11:30am at
ELC315
Lab: Friday 14:00-16:00 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.
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
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 |
| Jan-15-09 Jan-16-09 |
Thursday Friday |
Lecture 1 Lab 1 |
Introduction to Remote Sensing Raster and vector data sources |
Chapter 1 Chapter 8 |
| Jan-20-09 Jan-22-09 Jan-23-09 |
Tuesday Thursday Friday |
Lecture 2 Lecture 3 Lab 2 |
Electromagnetic radiation I Electromagnetic radiation II Introduction to ERDAS Imagine –display of images |
Homework 1 Chapter 1 |
| Jan-27-09 Jan-29-09 Jan-30-09 |
Tuesday Thursday Friday |
Lecture 4 Lecture 5 Lab 3 |
Radiation-material interaction I Radiation-material interaction II Image Import and Information Extraction |
Homework 2 Chapter 5 |
| Feb-03-09 Feb-05-09 Feb-06-09 |
Tuesday Thursday Friday |
Lecture 6 Lecture 7 Lab 4 |
Atmospheric Effects Spectral Signature I: Spectral, Spatial and Surface Profiles |
Homework 3 Chapters 2 |
| Feb-10-09 Feb-12-09 Feb-13-09 |
Tuesday Thursday Friday |
Lecture 8 Lecture 9 Lab 5 |
Spectral Signature II Multiple Spectral Remote Sensing I Creation and Manipulation of AOI |
Homework 4 Chapter 3 |
| Feb-17-09 Feb-19-09 Feb-20-09 |
Tuesday Thursday Friday |
Lecture 10 Lecture 11 Lab 6 |
Multiple Spectral Remote Sensing II Multiple Spectral Remote Sensing III Map Composition from Image |
Homework 5 Handout |
| Feb-24-09 Feb-26-09 Feb-27-09 |
Tuesday Thursday Friday |
Lecture 12 Lecture 13 Midterm exam |
Electro-Optical Systems I Electro-Optical Systems II |
Homework 6 Chapter 4 |
| Mar-03-09 Mar-05-09 Mar-06-09 |
Tuesday Thursday Friday |
Lecture 13 Lecture 14 Lab 8 |
Sensors Satellite Platforms Image Enhancement1 |
Homework 7 Chapter 6 |
| Mar-10-09 Mar-12-09 Mar-13-09 |
Tuesday Thursday Friday |
Lecture 15 Lecture 16 Lab 9 |
Image Processing I: Unsupervised
Classification + Project
Arrangement Image Processing II: Supervised Classification Image Enhancement2 |
Homework 8 |
| Mar-17-09 Mar-19-09 Mar-20-09 |
Tuesday Thursday Friday |
Spring break | |
|
| Mar-24-09 Mar-26-09 Mar-27-09 |
Tuesday Thursday Friday |
Lecture 17 Lecture 18 Lab 10 |
Imaging Processing III: Rectification Hyperspectral remote sensing Image Classification |
Homework 9 Chapter 7 |
| Mar-31-09 Apr-02-09 Apr-03-09 |
Tuesday Thursday Friday |
Lecture 19 Lecture 20 Lab 11 |
Introduction to Radar Radar Technology Polynomial Rectification |
Homework 10 Handout Chapter 12 |
| Apr-07-09 Apr-09-09 Apr-10-09 |
Tuesday Thursday Friday |
Lecture 21 Lecture 22 |
Radar Imaging Systems Radar image intepretation |
Homework 11 Chapter 9 |
| Apr-14-09 Apr-16-09 Apr-17-09 |
Tuesday Thursday Friday |
Lecture 23 Lecture 24 Lab 12 |
Introduction to GIS Coordinte systems Spectral analysis |
Handout Homework 12 Project |
| Apr-21-09 Apr-23-09 Apr-24-09 |
Tuesday Thursday Friday |
Lecture 25 Lecture 26 Lab 13 |
Data display and cartography in ArcGIS Spatial data analysis Raster and Vector data |
Handout Homework 12 Project |
| Apr-28-09 Apr-30-09 May-01-09 |
Tuesday Thursday Friday |
Presentation | Project |
|
May-05-09 |
Tuesday |
Final |
|
|
|
Last Updated: January 8, 2009 |
