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Geog 107

Geog 415

Geog/Geol 455

Geog/Geol 755


Geog/Geol 755
Advanced Remote Sensing


Note:  Prior to spring 2002, this class was numbered Geog/Geol 455.

Go to Course Overivew


Instructor: Dr. Tim Warner
Office: 341 Brooks Hall
Office Hours: W, 11:30 to 1, or by appointment

Telephone: 293-4725
E-mail: tim.warner@mail.wvu.edu
Class meeting time: Mondays 1:30 – 4:30 pm
Class meets: 302 Brooks Hall

 

Schedule

 

Draft Schedule:        

Week

Date

 

Subject

Text*

Laboratory

Other

1

Jan

14

Scales, image statistics

Ch 1 & Ch 4, 101-103

Band selection

 

2

 

21

(MLK Day)

 

 

Paper review

3

 

28

Digital orthophotos

Field Guide Ch 8

Imagine Orthobase

Paper review

4

Feb

4

Spectral transformations

274-276,296-310

Transformations/Homepage

Paper review

5

 

11

Change detection

Chap 12

Las Vegas growth

Paper review

6

 

18

Spatial analysis

276-296,322-329

Texture

Paper review

7

 

25

Image classification

Chap 9 & Chap 10

Expert System

 

8

Mrch

3

Exam 1

 

 

 

9

 

10

Accuracy Assessment

 

Imagine Map Composer

Project topic

10

 

17

Radiometric normalization

 

Scene normalization

 

 

 

24

Spring Break

198-222

 

 

11

 

31

Thermal imagery

 

 

Proj. progress rpt

12

April

7

Radar

 

Ship identification

Proj. progress rpt

13

 

14

Hyperspectral imagery

Chap 11

 

Draft project rpt.

14

 

21

Reflectance measurements& field work

191-194

ASD field data collection

 

15

 

28

Project presentations

 

 

Final project rpt

16

May

9

Final Exam (Friday:  3-5)

 

 

 

* Readings are from Jensen 2005, unless otherwise specified

Format
Class meetings will vary in format between formal lectures, seminars and laboratory exercises.

Laboratory
Digital image analysis using ERDAS Imagine (Brooks Hall Room 425).

Recommended Supplemental Texts
Jensen, J. R., 2005. Digital Image Processing. Prentice Hall, Upper Saddle River, NJ, 526 pp.
Lillesand, T. W., R. W. Kiefer, and J. W. Chipman, 2004.  Remote Sensing and Image Interpretation, Fifth Edition.  John Wiley and Sons, New York, 763pp.

Term project
Each student is required to undertake an independent short project. Examples of past projects include image processing, writing a short computer program, or carrying out a photo interpretation.

Policies
All material is to be handed in before class on the due date. (For laboratory exercises this will normally be one week after you receive the material.) You may hand in ONE item up to one week late. Any other late material will receive only 50% of the credit earned.


Grading:

Exam 1

 

20%

Exam 2   (Comprehensive)

 

20%

Project and presentation

 

20%

Topic

2%

 

Progress Report 1

2%

 

Progress Report 2

2%

 

 

Draft Report

2%

 

Final Report

10%

 

Oral Presentation

2%

 

Laboratory exercises

 

10%

Class participation

 

5%

Paper reviews

 

5%

Total

 

100%

Bonus Points:  All material handed in on time

 

5%

 

1/10/05


Course Overview & Philosophy

 

This course is designed to give you an overview of the current state of remote sensing. It assumes a basic knowledge of remote sensing from Geog 455, or an equivalent course. At the end of the course you should have the knowledge to pursue independently the remote sensing literature or a project of your interest. The course schedule as listed here will be reviewed at the first class meeting, and adapted to meet the needs of the students enrolled in the class.

Ideas will be introduced through lectures and readings. The laboratory exercises will be an opportunity to investigate concepts in greater depth. Each student will also pursue an individualized project, based on some aspect of remote sensing which the student finds interesting. This project is important, because it facilitates a better understanding of the material, and also provides a mechanism to ensure the greatest relevancy of the course for each student.

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Social Justice Statement


West Virginia University is committed to social justice. I support that commitment and expect to maintain a positive learning environment based upon open communication, mutual respect, and non-discrimination. Our University does not discriminate on the basis of race, sex, age, disability, veteran status, religion, sexual orientation, color or national origin. Any suggestions as to how to further such a positive and open environment in this class will be appreciated and given serious consideration.

If you are a person with a disability and anticipate needing any type of accommodation in order to participate in this class, please advise me and make appropriate arrangements with Disability Services (293-6700).