Spring 2023 - GEOG 353 D100
Advanced Remote Sensing (4)
Class Number: 2519
Delivery Method: In Person
Course Times + Location:
Tu 12:30 PM – 2:20 PM
WMC 2202, Burnaby
Exam Times + Location:
Apr 15, 2023
7:00 PM – 10:00 PM
WMC 2202, Burnaby
Email is the best way to contact Instructor
Office: RCB 6139
Office Hours: TBA
Advanced remote sensing principles and data processing techniques, including image correction and enhancement, advanced image analysis and information extraction, land cover classification and change detection, and integration of remote sensing and GIS. Quantitative.
GEOG 353 is the upper-level course of the remote sensing stream of courses offered by the Department of Geography (the introductory-level course is GEOG 253 - Introduction to Remote Sensing and the final course is GEOG 453 - Theoretical and Applied Remote Sensing). Compared to GEOG 253 that provides an overview of remote sensing and training on preliminary image interpretation, this course focuses on computer processing and analysis of images, and advanced applications of remote sensing for monitoring physical and human environments. Topics in this course include image preprocessing, image enhancement and transformation, image classification and change detection, unmanned aerial vehicle (UAV)-based remote sensing, hyperspectral remote sensing, and integration of remote sensing and Geographic Information System (GIS). Remote sensing imagery is an essential data source and GIS is a powerful geo-analytical tool, with their integration being at the center of a larger trend toward the fusion of different geo-spatial data and technologies, and thus will be thoroughly discussed in this course. GEOG 353 will include lectures that cover foundational concepts and practical lab sessions where students will work on the acquisition and processing of remote sensing images. Upon completion of this course, students should have the technical expertise to process and analyze remote sensing data and pursue more advanced work in remote sensing applications.
Note: There will be no labs in the first week of class
COURSE-LEVEL EDUCATIONAL GOALS:
After successfully completing this course, students will:
- Have a more detailed overview of remote sensing and stronger understanding of physical principles underlying the remote sensing measurements
- Acquire technical expertise processing and analyzing remote sensing images
- Gain and develop a strong working knowledge of standard remote sensing software for real-world applications
- Have the ability to integrate remote sensing products in a GIS project framework for analyzing different environmental features
- Understand the uncertainties throughout the information extraction processes
- Understand advanced remote sensing technologies and their strengths and limitations
- Assignments 40%
- Midterm Test 25%
- Final Examination 35%
MATERIALS + SUPPLIES:
Under SFU's Education Site License, SFU students, staff, and researchers may download the following software to home computers for academic use ONLY. This includes teaching and classroom use and research purposes.
Software available to download/install on home computers
- Microsoft 365
- ESRI Applications such as ArcGIS Desktop, ArcGIS Pro, ArcGIS Online, ESRI CityEngine, etc.
- Matlab with Named User License
- Adobe CC with Named User License*
* ONLY those who are in SFU payroll are eligible for Adobe CC with Named User License
Floyd F. Sabins, Jr.; James M. Ellis. 2020. Remote Sensing: Principles, Interpretation, and Applications. 4th Edition. Waveland Press. ISBN: 9781478637103 (Available on VitalSource).
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html