- International Fees
International fees are typically 3.25 times the domestic tuition. Exact cost will be calculated upon completion of registration.
Course Overview
This course covers the fundamentals of remote sensing including the technology, data collection, and interpretation of remotely sensed imagery. Both airborne and spaceborne remote sensing are discussed. Participants will be introduced to the theory, processes and techniques related to the capture and analysis of passive remote sensing data.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
1.5
- Retired
- This course has been retired and is no longer offered. Find other Flexible Learning courses that may interest you.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- List common uses of remotely sensed data.
- Illustrate and describe the process of passive remote sensing.
- Describe examples of applications that benefit from remote sensing technology.
- Draw and label the electromagnetic spectrum and describe interactions between EMR and matter.
- Illustrate and describe atmospheric scatter and absorption.
- Illustrate and describe satellite orbits used in remote sensing.
- Illustrate and describe various scanning systems for acquisition of remotely sensed data.
- Differentiate between active and passive technologies.
- Differentiate between the four types of resolution.
- Justify the use of ground validation for remote sensing projects.
- List advantages and disadvantages of remote sensing.
- Visually interpret true and false colour composites.
- Perform and explain the process of image enhancement, filtering, subsetting and vector data extraction.
- Perform and explain the process of geometric correction, selection of ground control points, image re-sampling, image-to-map registration and image-to-image registration.
- Perform unsupervised and supervised image classification and describe the difference between the two approaches.
- Create an error matrix and assess the errors of omission and commission of a classification.
- Describe the use of image subtraction for change detection.
- Assess the sources of error in remote sensing.
Effective as of Winter 2014
Programs and courses are subject to change without notice.