GIS 401 Introduction to LiDAR Remote Sensing and Applications. The aim of this course is to combine vector and raster GIS data and new remotely sensed data source, LiDAR, with geospatial tools to make spatial decisions. Students will master basic skills of LiDAR needed to leverage the commercial LiDAR sources and information products in a broad range of applications, including vegetation characterization, 3D modeling of urban infrastructure, volumetric analysis for underground parking garage excavation and wetland boundary delineation. Further, students will be given a brief introduction to Open Source software for LiDAR data processing.
Prerequisites: GIS 302
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 | 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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Learning Outcomes
Upon successful completion of this course, the learner will be able to:
- Infer the principles of LiDAR remote sensing including different sensors and platforms
- Compare different coordinate systems – horizontal and vertical datum
- Download data from Open Data Catalogues of different provinces in Canada and familiar with their metadata
- Convert industry specialized file formats to ArcGIS compatible formats using Open Source software (laszip)
- Describe basic steps for visualizing, quality checking and analyzing LiDAR data using Open Source software (FugroViewer and Fusion)
- Derive 3D surfaces – Digital Elevation Models (DEM), Digital Surface Models (DSM), canopy height models, Triangular Irregular Network (TIN) and Terrain datasets
- Integrate vector and raster data with LiDAR
- Apply acquired knowledge and critical thinking skills to solve real-world problems with appropriate LiDAR data processing and analysis methods
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.