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GEOP  491/595

Xiaobing Zhou, Associate Professor of Geophysicis



GEOP 302


Remote Sensing & GIS Applications

Lecture: Monday/Wednesday 1:00pm - 1:50pm at ELC329


Lab: Friday 12:00pm-3:00pm at ELC 315


Instructor: Dr. Xiaobing Zhou, Email: xzhou@mtech.edu, Tel: 496-4350


Office Hours: M/W/F 4:00 -5:00 pm, ELC 304


Textbook (required):

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.


References (recommended):
  • 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