Time: 3 hours (lecture, 3 credits)

Graduate course, offered each Summer and Fall semester

Course ID: IAS555
Instructor:	Wasit Wulamu
Email:	ghulam@eas.slu.edu
Office Hours:	Wednesday 10-11:50 AM; Thursday 2:00-5:00PM
Phone:	314-977-7062
Office:	Macelwane Hall 324
Meeting Time:	M 2:10-4:50
Meeting Location:	Macelwane Hall 319
Max seats:	10		Register Now

Course objectives: This course is aimed at to provide knowledge of the physics and principles and applications of SAR and InSAR/DInSAR and, Polarimetric SAR through a hands-on step-by-step lab work (theory and practical) using commercial ENVI SARscape Modules.

However, it should be realized that this is a formal academic course, not software training. The course focuses more on concepts than keystrokes, therefore, cultivating the ability of creative thinking and problem solving is what the course is planned to achieve!!!

Who should attend?Senior undergraduates, graduate students, and application scientists. Undergraduate students can also register for the course through a graduate course enrollment petition form available here

Attendance Policy:  Attendance is recommended, but not mandatory.

Lecture Notes, Assignments and Data: Go to password protected site HERE then type the username and password provided by instructor to get lecture notes and class materials.

Required Textbooks:

• Henri Maitre (Editor). Processing of Synthetic Aperture Radar (SAR) Images. August 2008, Wiley-ISTE. ISBN: 978-1-84821-024-0. Hardcover. 384 pages

Topical Outline:

Learning outcomes (skills/knowledges being assessed):  By the end of the course, students will:

• still have their passion for learning remote sensing not crushed
• be familiar with SAR principles, operational SAR satellites, data sources, and fundamentals of InSAR/DInSAR data processing, and interpretation.
• familiar with advanced level of geosciences applications of SAR data including DEM generation, earthquake deformation mapping, building sinking, land subsidence due to oil and gas exploration, and tree height estimation and classification.
• able to apply SAR data for their research

Teaching methods / in-class activities:

• Step-by-step lab manuals with practical applications
• 42 hours of lectures and supervised lab training
• Discussions based on lab results and publications based on the same data used for the lab and additional reading assignments

Modes of Assessment & Grading References:

1. Reading assignment and discussion – 20 %
2. Midterm exam – 20%
3. Final exam – 20%
4. Lab exercises –4*10% = 40%

Academic Integrity and Honesty: Students are expected to be honest in their academic work.  The University reserves the right to penalize any student whose academic conduct at any time is, in its judgment, detrimental to the University.  Such Conduct shall include cases of plagiarism, collusion, cheating, giving or receiving or offering or soliciting information in examinations, or the use of previously prepared material in examinations or quizzes.  Violations should be reported to your course instructor, who will investigate and adjudicate them according to the Policy on Academic Honesty of the College of Arts and Sciences.  If the charges are found to be true, the student may be liable for academic or disciplinary probation, suspension, or expulsion by the University.

Please review the Graduate School Academic Integrity and Academic Honesty policy (see http://academicintegrity.slu.edu/). 

Students with Special Needs - Disability Services: Any student who feels that he/she may need academic accommodations in order to meet the requirements of this course—as outlined in the syllabus, due to presence of a disability, should contact the Office of Disabilities Services.  Please telephone the office at 314-977-2930, or visit Room 131 in the Academic Resources Center, 3840 Lindell Blvd.  Confidentiality will be observed in all inquiries.

Grading: Grading of the exams uses the 0-100 point scale.
The course grade will be determined by adding together the scores from the pre-class reading, exams, and lab exercises according to the percentages described in the Course Requirements of the syllabus. There will be no exceptions.