GIS 305: Introduction to Remote Sensing using QGIS will introduce the fundamentals of remote sensing and demonstrate the current applications of the technology. Students will become familiar with the basic image pre-processing techniques such as applying radiometric, geometric and atmospheric corrections. State-of-the-art digital image processing techniques - supervised and unsupervised classifications, object based image classification, change detection and biophysical modelling will be explored. The course is designed to introduce freely available remote sensing data sources (open data) and open source software (QGIS) for natural resources management applications.
Prerequisites: GIS 302 or ENVR 158
Accessibility Services Notice
standard statementCourse Details| Total number of weeks | 7.5 |
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| Total Credits | |
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| Total Hours | 45 |
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Typical hours per week breakdown| Lecture | 6 |
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Outcomes
Upon successful completion of this course, the learner will be able to:
- understand the basic physical principles of remote sensing;
- describe the general procedure (big picture) of remote sensing;
- identify different types of remote sensing data, sensors, platforms, and their applications;
- apply radiometric and atmospheric corrections for images; and
- successfully apply different image processing techniques for data extraction using QGIS software.
Grading Table
Academic and Career
See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.
Disclaimer
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