- International Fees
International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
Course details
This course introduces students to a wide variety of applications of remotely piloted aircraft systems (RPAS, aka drones). You will learn from six instructors from the following program areas; Geomatics, Fish, Wildlife & Recreation, Media, Film and Broadcast, Aerospace about how drones are being used to gather important information about our environment. As drones increasingly become an indispensable tool across many fields, it is important to understand their capabilities and limitations. This truly interdisciplinary course offers an introductory insight into the rapidly evolving field of drone applications and helps students better understand the cross-sectoral utility of this positively disruptive technology.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
3.0
- Not offered this term
- This course is not offered this term. Please check back next term or subscribe to receive notifications of future course offerings and other opportunities to learn more about this course and related programs.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Implement basic Transport Canada regulations to plan a drone image/video capture mission.
- Use provided software to process drone imagery into 2D and 3D data sets including point clouds, textured models, surface and terrain models and orthophoto mosaics.
- Classify LiDAR data by return number and layer.
- Identify and describe procedures for removal of signal noise and other sensor-related artifacts.
- Describe the various applications of drones to forestry, fish, wildlife, recreation and ecological restoration.
- Discuss the topics of simplified standard atmosphere, propulsion basics, fixed wing performance and quadrotor hover performance as they pertain to RPAS.
- Explain the fundamental differences between photogrammetric and LiDAR point clouds.
- Identify the correct camera settings for capturing images/video under different lighting conditions.
- Recognize specific hazards related to drone operations associated with the applications discussed.
- Classify photogrammetric and LiDAR point clouds into digital surface and terrain models (DSM & DTM).
Effective as of Fall 2020
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