- International Fees
International fees are typically 3.12 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Course Overview
This course introduces the concepts of photogrammetry and remotely piloted aircraft systems (RPAS). The course begins with a general introduction to aerial mapping cameras and how reflected electromagnetic radiation is captured. Topics to be covered include film exposure, photogrammetric principles such as parallax, geometry of stereo photographs, orientation, scale, RPAS, orthophotos, flight planning, LiDAR, the importance of ground control, and planimetric capture. Elements of visual interpretation will be used throughout the course to examine various products derived from photogrammetry. The course includes a combination of lectures (theories and concepts) and labs (practical experience) related to photogrammetry and RPAS.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
5.0
- 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:
Introduction to Remote Sensing
- List different type of sensor data.
- Describe fundamental concepts of remote sensing and data models.
- Select appropriate raster data for survey projects.
Remote Sensing Platforms
- Recognize appropriate platforms and sensors to capture data relevant to specific projects.
- Identify the data requirements for the specific project.
- Demonstrate airborne mission-planning.
Passive Remote Sensing: Image Processing and Manipulation
- Discuss and review the right sensor/data to meet the survey requirements.
- Explain the role of resolution in data quality captured by cameras and scanners.
- Memorize basic image corrections.
- State the mathematical models relating sensor space to object space.
- Solve calculations to determine print scale and size.
- Select appropriate DEM for orthoimage generation.
Passive Remote Sensing: Image Analysis and Interpretation
- Implement and compare visual and digital imager interpretation.
- Demonstrate common image analyses and interpretation techniques.
Passive Remote Sensing: Applications
- Compare the various vegetation indices.
Information From Optical and Range Data: Photogrammetric Computer Vision
- Apply the concepts of optical data for spatial data collection (3D position) and the 2/3D object reconstruction from optical and range measurements.
- Interpret the mathematical photogrammetric theory and procedures of photogrammetric triangulation (indirect, integrated sensor, direct, orientations).
- Recognize the camera calibration parameters required for a photogrammetric project.
- Calculate approximate coordinate precision from aerial imagery.
Data Visualization and Mapping
- Define graphics (e.g., maps and other forms of geographic visualizations) to explain, interpret, and assess information.
Data Acquisition and Manipulation
- List different GIS data acquisition approaches and data sources.
- Recognize appropriate tools and techniques to acquire and maintain high-quality data.
Geospatial Data Analysis & Analytical Modeling
- Examine appropriate spatial analysis methods to support decision-making.
Digital Elevation Modeling (DEM)
- List mathematical approaches and techniques for terrain surface interpolations and reconstruction.
- State terrain/surface parameters, visualization, generalization, accuracy, and quality control.
- Demonstrate data-acquisition methods for DEM applications.
- Evaluate DTM applications and terrain analysis.
Effective as of Fall 2024
Related Programs
Introduction to Photogrammetry (GEOM 3071) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs with a co-op option.
School of Construction and the Environment
- Geomatics Engineering Technology
Diploma Full-time
Programs and courses are subject to change without notice.