Digital Remote Sensing
GEO 508, Fall 2000
Section Code: 25863
Prerequisites: GEO 203, GEO 303 and GEO 305 (GEO 506 strongly encouraged)
Dr. John Althausen, Assistant Professor of Geography
Office: DOW 282
Office Hours: M/T/R 3:00 PM to 5:00 PM; or by Appointment
Office Phone: 774-1305
Departmental FAX: 774-2907
CMU E-mail: John.Althausen@cmich.edu
Tuesdays/Thursdays; 12:00 PM to 1:50 PM
Lecture Classes: DOW 273
Lab Classes: DOW 272/274
Jensen, J.R. 2000. Remote Sensing of the Environment: An Earth Resource Perspective - 1st Edition. Prentice Hall, Upper Saddle River. 544 p.
Jensen, J.R. 1996. Introductory Digital Image Processing: A Remote Sensing Perspective - 2nd Edition. Prentice Hall, Upper Saddle River. 318 p.
Web Materials for Course:
Resource Page (http://www.earthsensing.com/rssg/web_rsrc.html)
Job Finder (http://www.earthsensing.com/gis/jobs/jobhelp.html)
Practice for Your Exams:
JEOPARDY #1 (Available on 03 October 2000)
JEOPARDY #2 (Available on 31 October 2000)
JEOPARDY #3 (Available on 07 December 2000)
Lectures 1-2 and 4-11 are available at Kopy Korner, 2210 South Mission, Mt. Pleasant, MI 48858. Lectures 3 and 12-15 will be handed out at the previous class before each lecture.
Available from Instructor the week before their due date.
Available from Instructor the week before the exercise is undertaken.
Extra-Credit Student Project:
Each student is welcome to conduct an extra-credit research project that can be worth up to 10 points, added to your final grade score. So, if you have an 83% final grade (a "B") in the course, you can boost your final grade to 93% (an "A"). The research project must be proposed to the Instructor by 07 November 2000, and must incorporate several of the image processing techniques conducted in the course's lab exercises. To see an example of a "10" project look at http://www.earthsensing.com/drs/stud_proj_f99/final.html. This is a Fall 1999 Student Project by Jesse Frankovich.
This course will offer an overview of current remote sensing systems, focusing in on the digital image processing techniques utilized to analyze data collected by these systems. Lectures will review the specific airborne and spaceborne systems, while lab assignments will cover the digital manipulation and analysis techniques employed by today’s remote sensing technicians.
A major objective of the course is to introduce students to the different types of platforms/payloads used in remote sensing. The course will review the fundamentals of remote sensing, and demonstrate present applications of the technology. Another objective is to have each student become familiar with the basic image processing techniques utilized when examining imagery. And finally, to stimulate interest in remote sensing activities which play a vital role in modern development and geopolitics.
Students will be asked to become proficient with topical course material and will be required to critically analyze issues in today’s remote sensing field. Each student is expected to: 1) participate in class discussions on each lecture topic, 2) demonstrate good logic and analysis skills, and 3) complete the course with a good understanding of how digital image processing is practiced today.
Course Requirements and Evaluation:
1. Homework Worksheets - 10 (10%)
2. Exams - 3 (45%)
3. Lab Exercises - 15/16 (45%)
4. Extra-Credit Student Project - (up to 10% added to final course %)
All student grades will be based on the following grading scale:
A³93.0% A- = 90.0% to 92.9%
B+ = 87.0% to 89.9% B = 83.0% to 86.9% B- = 80.0% to 82.9%
C+ = 77.0% to 79.9% C = 73.0% to 76.9% C- = 70.0% to 72.9%
D+ = 67.0% to 69.9% D = 63.0% to 66.9% D- = 60.0% to 62.9%
The course grade will be determined by adding together the scores from the homework worksheets, exams, and lab exercises according to the percentages described in the Course Requirements and Evaluation section of the syllabus. There will be no exceptions.
Policy on Student Responsibilities:
As part of the CMU community, each student in this class is expected to act and behave according to the rules and regulations identified in the CMU Student Guide. All students are expected to: 1) attend class, 2) take lecture notes, 3) review the assigned readings before class, and 4) complete assignments and examinations on time. Students should be prepared to participate in class and answer questions when called upon. Students are expected to keep and complete a notebook of all lecture and lab materials.
Homework assignments and lab exercises are due on the assigned dates. Assignments turned in late will be penalized. Assignments will not be accepted after they have been returned and reviewed.
Soft drinks and coffee are acceptable during lecture but bottles, cans, and cups will need to be removed from the classroom when lecture is over. There will be NO food or drinks allowed in the computer labs (DOW 272 or DOW 274).
Policy on Attendance:
Students are expected to attend classes. Any absences due to illness or emergency should be explained to me so that I can make sure you receive any materials missed due to the absence. Roll will be taken sometime during each class meeting. Students are expected to remain in class for the entire class period and to conduct themselves in an adult manner. Students who disrupt the class, e.g. by talking or constantly moving around, will be asked to leave the classroom until they are prepared to return and conduct themselves in a proper fashion.
Policy on Academic Dishonesty:
The field of geography is based upon the integrity of those people working in it. It is assumed that students taking this class will live up to the highest levels of academic honesty. If I have reason to believe that a student is cheating or being academically dishonest in any way, proceedings will be instituted to have the student dismissed from the program and possibly the University.
Students with Disabilities:
CMU provides individuals with disabilities reasonable accommodations to participate in educational programs, activities, and services. Students with disabilities requiring accommodations to participate in class activities or meet course requirements should contact me as soon as possible. The Department of Geography, CMU Student Services, and myself will make every effort to assist individuals with disabilities in this course.
Each exam will be 1 hour in length and account for 15% of your grade (45% total for all three exams). They will include both the lecture and lab material. There will be overlap between exams; i.e. the exams will be comprehensive. They will be given on the following days:
1. Exam #1 - 05 October 2000
2. Exam #2 - 02 November 2000
3. Exam #3 - 12 December 2000
I will try to follow the outline presented below as much as possible. I may meander at times depending upon how a particular discussion is evolving. Each student is expected to have reviewed the weekly assigned readings before coming to class.
Week 1 - 29 August 2000 & 31 August 2000
08/29 - Overview of Course, Syllabi, and Student Responsibilities
08/29 - Suggested Review Readings - JJ2000: pp. 53-179
08/31 - Lecture #1: Introduction to Remote Sensing Concepts (JJ2000: pp. 1-51)
Week 2 - 05 September 2000 & 07 September 2000
09/05 - Lecture #2: Introduction to Remote Sensing Concepts (JJ2000: pp. 1-51)
09/07 - Lecture #3: Sources of Data and Imagery
Week 3 - 12 September 2000 & 14 September 2000
09/12 - Lecture #4: What Makes a Digital Image? (JJ1996: pp. 1-63)
09/14 - Lab #1 Lecture & Demo: Image Display (JJ1996: pp. 1-63, 87-105)
09/14 - Lab #2 Lecture & Demo: Map Compositions
Week 4 - 19 September 2000 & 21 September 2000
09/19 - Lecture #5: Landsat MSS (JJ2000: pp. 182-192)
09/21 - Lab #3 Lecture & Demo: Image Statistics & Profiles (JJ1996: pp. 77-86)
Week 5 - 26 September 2000 & 28 September 2000
09/26 - Lecture #6: Landsat TM/ETM+ (JJ2000: pp. 192-201)
09/28 - Lab #4 Lecture & Demo: Image Normalization (JJ1996: pp. 107-137)
Week 6 - 03 October 2000 & 05 October 2000
10/03 - Lecture #7: Environmental Sensors: SPOT & IRS (JJ2000: pp. 201-241)
10/03 - Exam Review: RS Jeopardy #1
10/05 - EXAM #1
10/05 - Lab #5 Lecture & Demo: Image Rectification (JJ1996: pp. 107-137)
Week 7 - 10 October 2000 & 12 October 2000
10/10 - Lecture #8: Oceanographic Satellites (JJ2000: pp. 201-241)
10/12 - Lab #6 Lecture & Demo: Image-to-Image Registration (JJ1996: pp. 107-137)
Week 8 - 17 October 2000 & 19 October 2000
10/17 - Lecture #9: Meteorological Satellites (Sabins Handout)
10/17 - Lecture #10: Thermal IR Sensors (JJ2000: pp. 243-283)
Week 9 - 24 October 2000 & 26 October 2000
10/24 - Lab Lecture & Demo #7: Colorizing GOES Imagery (Handout)
10/26 - Lecture #10: Thermal IR Sensors (JJ2000: pp. 243-283)
Week 10 - 31 October 2000 & 02 November 2000
10/31 - Lecture #11: Microwave Sensors (JJ2000: pp. 285-331)
10/31 - Exam Review: RS Jeopardy #2
11/02 - EXAM #2
11/02 - Lab Lecture & Demo #8: RADARSAT Image Enhancement (JJ1996: pp. 139-195)
Week 11 - 07 November 2000 & 09 November 2000
11/07 - Lecture #12: Remote Sensing of Vegetation (JJ2000: pp. 333-377)
11/09 - Lab Lecture & Demo #9: Spectral Transforms (JJ1996: pp. 139-195)
Week 12 - 14 November 2000 & 16 November 2000
11/14 - Lecture #13: Remote Sensing of Water (JJ2000: pp. 379-406)
11/16 - Lab Lecture & Demo #10: Spectral-Spatial Transforms (JJ1996: pp. 139-195)
Week 13 - 21 November 2000
11/21 - Lecture 14: Urban Remote Sensing (JJ2000: pp. 407-470)
11/21 - Lab Lecture & Demo #11: Spectral-Spatial Transforms II (JJ1996: pp. 139-195)
Week 14 - 28 November 2000 & 30 November 2000
11/28 - Lecture 15: Image Classification (JJ1996: pp. 197-256)
11/28 - Lab Lecture & Demo #12: Supervised Thematic Classification (JJ1996: pp. 197-256)
11/30 - Lab Lecture & Demo #13: Unsupervised Thematic Classification (JJ1996: pp. 197-256)
Week 15 - 05 December 2000 & 07 December 2000
12/05 - Lab Lecture & Demo #14: Accuracy Assessment (Handouts)
12/07 - Lab Lecture & Demo #15: Change Detection (JJ1996: pp. 257-279)
Week 16 - 12 December 2000
12/12 - EXAM #3
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