GIS 307 Remote Sensing in Resource Management. Building upon the skills introduced in Introduction to Remote Sensing (GIS 306), this course will cover topics in the biophysical, geophysical, and human activity applications of remote sensing as well as change detection, object-oriented analysis, and active and passive imaging. Lectures will be integrated with labs emphasizing practical experience in remote sensing software applications using ENVI 5.x and QGIS 3.x. This course consists, in part, of an independent project designed and conducted by individual students to foster a scientific research approach in executing a remote sensing project. Each student will identify a project to be approved by the instructor during the first week of the class. Students are expected to work individually to complete their chosen project. The instructor will periodically discuss project progress and provisional results in the class.
Prerequisites: GIS 305 or GIS 306 with a minimum grade of 60%
Accessibility Services Notice
Students who would like an academic accommodation and who have a documented disability should contact Accessibility Services, if they have not already done so.Course Details| Total number of weeks | 15 |
|---|
| Total Credits | |
|---|
| Total Hours | 45 |
|---|
Typical hours per week breakdown| Lecture | 3 |
|---|
Learning Outcomes
Upon successful completion of this course, the learner will be able to:
- Identify key concepts related to Remote Sensing/GIS and explore how to apply them to solve real world problems
- Select a research problem, background information and scope project objectives
- Identify required data sources, processing steps and required time frame
- Create a project proposal including objectives, data sources, processing steps and RS/GIS tools to solve the problem
- Effectively work individually to fulfil project requirements and to meet deadlines
- Communicate effectively with peers, other faculty, and community members
- Present final outcome in the SEG conference (as an oral presentation) at the end of the semester, write a conference style research paper following the fundamentals of conducting and presenting applied research in a scientific research paper
Teaching and Learning Approach
The course will include a mix of theory, discussion, demonstration, guided application, and independent study.Learning Resources
Recommended:
Lillesand, T.M., Kiefer, R.W. and Chipman, J.W. 2015. Remote Sensing and Image Interpretation. Seventh
Edition. John Wiley & Sons (the book used for GIS 306)
Cracknell, A. P. and Hayes, L., 2007. Introduction to Remote Sensing, Second edition, CRC Press.
Jensen, J.R. 2007. Remote Sensing of The Environment: An Earth Resource Perspective. Prentice Hall.
Lillesand, T.M., Kiefer, R.W. and Chipman, J.W. 2008. Remote Sensing and Image Interpretation. Sixth Edition.
John Wiley & Sons.
Tso, B. and Mather, P. M., 2009. Classification Methods for Remote Sensed Data, second edition. CRC Press.
The instructor reserves the right to make additional required reading materials available.Detailed Course Content, Topics, and Sequence Covered
1. Project overview and project requirements / Introduction to RADAR remote sensing
2. Introduction to LiDAR
3. LiDAR applications
4. Project proposal work
5. Project Proposal Due
6. Project work
7. Reading break (no classes)
8. Image pre-processing and data manipulation
9. Data Analysis
10. Discuss project deliverables - finalizing outputs and writing project reports
11. Draft Report Work
12. Project presentations in the class
13. SEG conference
14. Final project revisions/corrections/write-up.Assessment
| Title | Learning Outcomes | Value |
|---|
| Task 1: Introduction to RADAR data and processing + Industry Need Quiz | 1, 3 | 5% |
| Task 2: Introduction to LiDAR using ArcGIS | 1, 3 | 5% |
| Task 3: LiDAR applications â€" generating 3D | surfaces 1, 3 | 5% |
| Task 4: Remote Sensing Applications Quizes | 1, 3 | 2.5% |
| Task 5: Create final project proposal | 1, 2, 3, 4, 5, 6 | 15% |
| Task 6: Draft Report | 1, 2, 3, 5, 6, 7 | 30% |
| Task 7: Final Report | 1, 2, 3, 5, 6, 7 | 20% |
| Task 8: Project Presentation | 5, 6, 7 | 10% |
| Task 9: Data Folder Organisation | 4, 5, 6 | 4% |
| Total | 100% |
Grading Table
Standard Academic and Career Programs Grading Table
| Percentage | Letter Grade | GPA |
| 90-100 | A+ | 4.33 |
| 85-89 | A | 4.00 |
| 80-84 | A- | 3.67 |
| 76-79 | B+ | 3.33 |
| 72-75 | B | 3.00 |
| 68-71 | B- | 2.67 |
| 64-67 | C+ | 2.33 |
| 60-63 | C | 2.00 |
| 55-59 | C- | 1.67 |
| 50-54 | P | 1.00 |
| 0-49 | F | 0.00 |
| | DNW | 0.00 |
See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.
Disclaimer
Information contained in this course outline is correct at the time of publication. Content of the course is revised on an ongoing basis to ensure relevance to changing educational, employment and market needs. The instructor will endeavor to provide notice of changes to students as soon as possible. The instructor reserves the right to add or delete material from courses.