GEO 655: Advanced Geospatial Applications: Environmental modeling with GIS & Remote Sensing (Fall, 2006)

Lectures:        T  8:00-8:50 PM TEMPLE 307             Instructor: Dr. Xin (Shane) Miao

Lab Section :   T 9:00 -9:50 PM TEMPLE 307            Office: Temple 310

                    R 8:00 -9:50 PM TEMPLE 307            Phone: 836-5173

Credit Hours:  (1-3)                                                   E-mail: XinMiao@Missouristate.edu                 

                                                                                    Office Hours: W 2-5 or by appointment

Course Description:

GEO 655 Advanced Geospatial Applications: Environmental modeling with GIS & Remote Sensing ― Remote Sensing digital image processing

Prerequisite: GRY 551 or GRY 552 or GRY 566 or permission of instructor. Advanced application of aerial photography and digital imagery, analytical photogrammetry, remote sensing, digital cartography and other geospatial technologies in areas of interest such as land use/land cover mapping, landscape ecology, agriculture, forestry, resource planning, geology, and soils. Since credit and topics vary, the course may be repeated for a maximum of 7 hours with permission.

This will be an advanced remote sensing course, emphasizing on the remote sensing digital image processing and environmental information extraction.

Textbook:

Jensen, J. R., 2005, Introductory Digital Image Processing: A Remote Sensing Perspective, Upper Saddle River, NJ: Prentice Hall, 3rd Ed., 526 pages.

Reference:

Jensen, J. R., 2000, Remote Sensing of the Environment: An Earth Resource Perspective, Upper Saddle River, NJ: Prentice Hall, 544 pages.

Exercises:

Every major topic will have an image interpretation and/or computation lab exercise associated with it. There will be a total of eleven exercises throughout the semester. These exercises need to be typed and handed in on the due date. Points will be deducted if you failed to submit lab reports on time.

Project/Paper:

A concise project is required. You will take an original remote sensor dataset and apply algorithms of your choosing to it. I am especially interested in the quality and significance of the digital image processing you perform. I want to see a one (1) page creative image of your work in ENVI format and a maximum three (3) page paper including references describing your logic and results. Use scientific referencing in the text, such as "Jensen et al. (1995) radiometrically corrected the remote sensor data. A summary of radiometric correction methods is found in Jensen (2005)".

Course Requirements and Evaluations:

Examinations:

You will be given one midterm exams worth 100 points and a final exam worth 200 points. The course schedule provides the dates of these exams. Exams will be a combination of multiple choice, calculations, and short answer questions.

Instructional Goals - After successfully completing this course, you should be able to:

1)      Understand basic principles of remote sensing digital image processing.

2)      Understand the major digital image processing algorithms; be capable of undertaking various analyses using digital image analysis software (ENVI).

3)      Understanding the remote sensing applications in forestry, land-use land cover classification and environment change detection.

Absence and Tardiness Policies:

Your success in this course is very heavily dependent on regular attendance. The university places responsibility for attendance policies in the hands of instructors (SMSU Undergraduate Catalog 2003-2004, p. 50). Accordingly, attendance will be taken during each class meeting. Sometimes illnesses or family emergencies crop up, and there is no possible way to avoid being absent. I do not require an excused absence for such occasions but please let me know in advance if you will not be attending.

Tardiness disrupts the class, as does leaving early. Please be prepared for class, attend on time, and stay for the full duration. Attendance may be taken in the beginning, the middle, or toward the end of each class period; your signature is required on all sign-in sheets to show that you attended the full class period (excepting illness and participation in university-sponsored events). Otherwise, it will be regarded as an absence.

Drop Policy:

It is your responsibility to understand the University’s procedure for dropping a class. If you stop attending this class but do not follow proper procedure for dropping the class, you will receive a failing grade and will also be financially obligated to pay for the class. To drop a class anytime after the first week of classes, you must complete and turn in a drop slip at an authorized registration center. You do not need to obtain any signatures on the drop slip. It does not need to be signed by your instructor, your advisor, or a department head.  If you wish to withdraw from the University (i.e., drop all your classes), contact the Registration Center, Carrington 320, 836-5522.

Academic Integrity:

Missouri State University is a community of scholars committed to developing educated persons who accept the responsibility to practice personal and academic integrity.  You are responsible for knowing and following the university’s student honor code, Student Academic Integrity Policies and Procedures, available at http://www.missouristate.edu/provost/3935.htm and also available at the Reserves Desk in Meyer Library. Any student participating in any form of academic dishonesty will be subject to sanctions as described in this policy.  

Use of Cell Phones, Pagers, and Text-Messaging Devices in Classes:

The use by students of cell phones, pagers, or similar communication devices during scheduled classes is prohibited.  All such devices must be turned off or put in a silent mode and cannot be taken out during class.  At the discretion of the instructor, exception to this policy is possible in special circumstances.  See http://www.smsu.edu/acadaff/Policies/default.htm for complete policy.

Accommodating Students:

To request academic accommodations for a disability, contact the Director of Disability Services, Plaster Student Union, Suite 405, (417) 836-4192 or (417) 836-6792 (TTY), http://www.missouristate.edu/disability.  Students are required to provide documentation of disability to Disability Services prior to receiving accommodations. Disability Services refers some types of accommodation requests to the Learning Diagnostic Clinic, which also provides diagnostic testing for learning and psychological disabilities. For information about testing, contact the Director of the Learning Diagnostic Clinic, (417) 836-4787, http://psychology.missouristate.edu/ldc

Nondiscrimination Statement:

Missouri State University is an equal opportunity/affirmative action institution, and maintains a grievance procedure available to any person who believes he or she has been discriminated against. At all times, it is your right to address inquiries or concerns about possible discrimination to the Office of Equal Opportunity Officer, Siceluff Hall 296, (417) 836-4252. Other types of concerns (i.e., concerns of an academic nature) should be discussed directly with your instructor and can also be brought to the attention of your instructor’s Department Head.  

Safety:

Your personal safety is important to you, your instructor, the university, and the community. The MSU Department of Safety and Transportation is responsible for providing a safe environment for the campus community. The department is also responsible for parking and other accommodations for transportation to meet the University's needs. If you have any questions comments related to parking, the shuttle system, personal safety, environmental regulations, or others, do not hesitate to contact the Department of Safety and Transportation at 836-8870.

Summary of Grading:

Your final grade will be based on the total number of points, for the midterm and final exams, lab exercised, lab exam and ‘academic enthusiasm’. 

Grading Scale:            951 – 1200        cumulative points                                   A

                                    751 –  950         cumulative points                                   B

                                    601 –  750         cumulative points                                   C

                                    500 –  600         cumulative points                                   D

                                    < 500                cumulative points                                   F

GEO 655 CLASS SCHEDULE AND OUTLINE (Fall 2006)

 

Lectures Chapter 1: Remote Sensing and Digital Image Processing Chapter 2: Remote Sensing Data Collection Chapter 3: Hardware and Software Chapter 4: Image Quality Assessment and Statistical Evaluation Chapter 5: Initial display Alternatives and Scientific Visualization Chapter 6: Electromagnetic Radiation Principles and Radiometric Correction (1) Chapter 6: Electromagnetic Radiation Principles and Radiometric Correction (2) Review Ch. 1-6 Chapter 7: Geometric Correction Chapter 8: Image Enhancement (1) Chapter 8: Image Enhancement (2) Chapter 9: Thematic Information Extraction: Pattern Recognition (1) Chapter 9: Thematic Information Extraction: Pattern Recognition (2) Chapter 10: Information Extraction Using Artificial Intelligence Chapter 12: Digital Change Detection Review Ch. 7-12

 

Labs Lab 1: Introduction to the Remote Sensing Process   Lab 2: ENVI Quick Start Lab 3: ENVI Intro. Lab 4: Interactive_Display Lab 5: Map Composition lab 6: Geo-registration Lab 7: Classification Decision Tree