ESPM 271 Course Outline
Objectives and Style of Instruction
ESPM 271 Course Outline
Lecture: Wed. 2:00-5:00 pm
Location: 42 Giannini Hall / 124 Mulford Hall
Office Hours: Tue. 11:00-12:00, Wed. 11:00-12:00 AM, or by Appointment
and Style of Instruction
The aim of the course is to show students how to learn principles of remote sensing and image analysis. These include the ways in which remote sensing systems are used to acquire data, how these data may be analyzed and how information on our environment can be derived from such data for natural resources and human settlements, and how information derived from remotely sensed data can be integrated with other spatial data such as map data, census data and field survey data in a geographic information system.
At the end of the course, students should be capable of advising on the best types of imagery, scales and analysis procedures for information extraction. They should be capable of undertaking various analyses using digital image analysis software packages. They should also be able to transfer information between digital image analysis systems and GIS
The course is divided into two parts with part I emphasizing on lectures and part II on instructed project work and presentation. The first 10 weeks (until March 31, 1995) will be used for lecturing and lab exercise. During this time period, students are required to read materials and encouraged to question, discuss, and find answers on their own. In addition, 4 - 5 3-hour lab instruction sessions will be made. 8-10 assignments will be given. The last 5 weeks will be allocated to project work. Each student is required to undertake a project that must contain 4 components - use of remotely sensed data, digital data processing, analysis of results, and a project report. The project can be selected in consultation with the student's major professor or the instructor. The class hours will be used for each student make progress reports. Problems encountered will be discussed.
1. Introduction to the Mapping Science and Current Status of Sensing Technology
2. General Procedures in Remote Sensing Image Analysis for Earth System Sciences
3. Major Components in Digital Image Analysis
4. Remote Sensing Image Calibration
5. Remote Sensing Image Enhancement
- Data reduction and transformation
- Texture measures
Midterm 1 - 1.5 hour. February 26, 1997 or on another day all agreed on
6. Interpreting Remotely Sensed Data
7. Conventional Image Classification
- Classification design
- Separability measures
- Accuracy assessment
8. Contextural Classification and Linear Feature Extraction
- Classification based on image preprocessing
- Frequency-based classification
- Algorithms for linear feature extraction
9. Change Detection
10. Multiple Data Source Integration
Midterm 2 - 2 hour. April 2, 1997 or on another day all agreed on
Deadline for final project report: May 16, 1997
Work Percentage Assignments 25% Midterm Exam 1 15% Midterm Exam 2 30% Progress Report and Discussion 10% Project report 20%
John R. Jensen, 1996. Introductory Digital Image Processing, A
Remote Sensing Perspective, 2nd Ed. Prentice Hall, Englewood Cliffs, New Jersey.
Gong, P., 1997. Remote Sensing and Image Analysis, Unpublished
1. James B. Campbell, 1987. Introduction to Remote Sensing, The Guilford Press, New York.
2. John A. Richards, 1993. Remote Sensing Digital Image Analysis, An Introduction. Second Edition. Springer-Verlag, New York.
3. Asrar, ed.,1989. Theory and Application of Optical Remote Sensing, Wiley, Toronto.
4. Etachi, C., 1987. Introduction to the Physics and Techniques of Remote Sensing, Wiley, Toronto.
5. Pratt, 1991. Digital Image Processing, Wiley, Toronto.
6. Hobbs, R.J., and H.A. Mooney. 1989. Remote Sensing of Biosphere Functioning. Springer-Verlag, New York.
7. Ehleringer, J.R. and C.B. Field, 1992. Scaling Physiological Processes, Leaf to Globe. Academic Press, Inc. San Diego.
Canadian Journal of Remote Sensing
Cartography and Geographic Information Systems
Geographic Information Sciences
International Journal of Geographical Information Systems
International Journal of Remote Sensing
Photogrammetric Engineering and Remote Sensing
Remote Sensing of Environment
IEEE Transactions on Geoscience and Remote Sensing