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GEOGRAPHY 551

Principles of Remote Sensing

Spring Semester 2008

Lecture & Lab: TUE 2:00-4:30 p.m. CSSC 005 or CSSC 003

John R. Jensen, Ph.D. Carolina Distinguished Professor johnj@gwm.sc.edu	Office	Hours	Phone
	CSSC 327	TUE 1:00 - 2:00 p.m.	777-5790
Zhongwu Wang, M.Sc. Teaching Assistant wangz@mailbox.sc.edu	CSSC 323	MON 1:00 - 3:00 p.m.	777-1308

 

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Syllabus

Date:	Subject:
Jan 15	Chapter 1: Remote Sensing of the Environment
Jan 22	Chapter 2: Electromagnetic Radiation Principles Chapter 3: History of Aerial Photography and Aerial Platforms EXERCISE #1 Measurement and Analysis of Target Reflectance
Jan 29	Chapter 5: Elements of Visual Interpretation EXERCISE #2 Image Interpretation and Analysis of Aerial and Satellite Data
Feb 5	Chapter 7: Multispectral Remote Sensing Systems A and B EXERCISE #3 Imagery on the Internet
Feb 12	Chapter 7: Multispectral Remote Sensing Systems A and B
Feb 19	Chapter 8: Thermal Infrared Remote Sensing EXERCISE #4 Thermal Infrared Image Interpretation
Feb 26	Chapter 8: Thermal Infrared Remote Sensing EXERCISE #4 Thermal Infrared Image Interpretation
Mar 4	Midterm examination
Mar 11	Spring break - no class
Mar 18	Chapter 9: Active and Passive Microwave Remote Sensing EXERCISE #5 Analysis and Interpretation of Radar Imagery
Mar 25	Chapter 10: LIDAR Remote Sensing EXERCISE #6 Analysis of LIDAR Imagery
Apr 1	Chapter 11: Remote Sensing Vegetation EXERCISE #7 Remote Sensing of Vegetation
Apr 8	Chapter 12: Remote Sensing Water EXERCISE #8 Remote Sensing of Water Resources
Apr 15	Chapter 13: Remote Sensing the Urban Landscape EXERCISE #9 Urban Applications in Remote Sensing
Apr 22	Chapter 14: Remote Sensing of Soils, Minerals, and Geomorphology The powerpoint lecture material is found at ftp://129.252.3.174 with the username (uscgeog) and password (gamecocks).  Note that the account is case-sensitive. EXERCISE #10 Remote Sensing of Soils and Geomorphology
May 3	Saturday- Final Examination at 9:00 a.m. This is the Registrar's scheduled time for the Geography 551 final exam. I provide no make-up examination unless there is a documented reason. See me at the beginning of the semester if you have an exam schedule conflict.

Exercises:

Every major topic will have an image interpretation and/or computation exercise associated with it.

Required Text:

Jensen, John R., 2007, Remote Sensing of the Environment: An Earth Resource Perspective, 2^nd  Ed., Upper Saddle River, NJ: Prentice Hall, 592 pages.

Class Home Page: URL http://www.cla.sc.edu/geog/rslab/551/

Undergraduate Grading Policy:

Exercises	30 %
Mid-Term Examination	30 %
Final Examination	40 %
	100%

Graduate Grading Policy:

Exercises	20 %
Book Review	10 %
Mid-Term Examination	30 %
Final Examination	40 %
	100%

Graduate Students

Graduate students enrolled in Geography 551 are expected to read one additional remote sensing-related book and provide a three page review.  Please tell me about the book you have selected before you begin reading it. I will provide guidelines for the preparation of the book review.

Academic Responsibility

In the Academic Responsibility Code found in the Carolina Community: USC Columbia Student Handbook and Policy Guide, misrepresentation of your own work either through plagiarism, collusion, or data distortion is a serious breech of this code. Plagiarism is the taking of ideas, concepts, and written (published) words and representing them as your own.  This includes materials that are published in hard copy form such as books and journals (or someone else's term paper) as well as material downloaded from the Internet, without appropriate attribution and referencing of the copied passages (e.g. placing the copied material in quotation marks and providing the reference including the exact page number of the copied material). Plagiarism infringes on copyright protections and also is considered theft of intellectual property.  In addition to being illegal, plagiarism is morally wrong.  If you have any questions on what constitutes plagiarism, get a copy of the Carolina Community. Collusion occurs when someone else writes (or dictates) portions of the assignment for you and you represent this as your own work.  Data distortion is the intentional misrepresentation of data either through falsification, fabrication, or omission.  If it is discovered that you have committed plagiarism, collusion, or data distortion on any assignment in this class, you may fail the course.

USC Remote Sensing Lab

USC Geography Home Page