Applications of Satellite Remote Sensing
in Civil and Environmental Engineering with labs
Students need to download required files from the university portal
GOAL: The applications of satellite remote sensing data in various fields have been popular with the increasing availability of satellite data sources in recent years. You will learn the following from this course: 1) Software (ENVI, GIS, Google Earth) that is commonly used in remote sensing applications, 2) The physics behind remote sensing, 3) The capability to utilize free remote sensing data sources to assist your research, and 4) Common metrics (e.g., NDVI) and techniques (e.g., classification) deployed by remote sensing scientists in analysis.
COURSE LEVEL AND REQUIREMENTS: This is a graduate-level course. There is no hard prerequisite, but a good GIS background is highly recommended. Students should be able to access the university portal (iSchool). All grades and announcements will be available there. Students are responsible for keeping up to date with all announcements.
EVALUATION: 5% Submission of project topic and summary by the end of the sixth week 10% Quizzes 20% Lab assignments 25% Final exam 20% Oral report (4% slide design, 8% details and contents, 8% presentation skills) 10% Written report (4% conformity to journal formats, 6% details and contents) 10% Attendance Labs: Lab assignment is graded based on individuals. There will be enough time during the lab for students to practice. The deadline for each lab assignment is 11:59 PM on Friday of the same week as the assignment is assigned. Project: Depending on the class size, projects can be based on individuals or groups. Students are free with topic choices, but the analysis must contain at least two satellite images. There is no limitation on the field of application, but the project's outcome should contribute to our understanding of the selected field. The allotted time for each oral presentation is 15 minutes. Peer-grading on oral presentations will be utilized. The written report should utilize formal journal formats. You need to declare the journal format that you are mimicking. There is no limit on the number of words or pages, but you are responsible for delivering everything clearly with sufficient details. The deadline for written reports is 11:59 PM on the last day of the university final exam week.
TENTATIVE SCHEDULE: Week 1: Icebreaker, explanation of the syllabus Week 2: History of remote sensing Week 3: Lab 1 - Google Earth Week 4: Principles of remote sensing Week 5: Lab 2 - Introduction to ENVI Week 6: Principles of remote sensing Week 7: Lab 3 - Radar remote sensing Week 8: Lab 4 - Image correction and georeferencing Week 9: Major Earth observation satellites Week 10: Lab 5 - Hyperspectral remote sensing Weeks 11-12: Techniques of data processing Week 13: Lab 6 - Classification Week 14: Remote sensing applications Week 15: Final exam Week 16: Oral presentation of projects