Student Learning Outcomes

• Interpret, analyze and summarize results of a remote sensing
• Apply basic concepts, methods and uses of accuracy assessment and ground truthing to the results of remote sensing workflows.
• Perform basic remote sensing workflows to solve problems (such as acquiring data, feature extraction, change detection, pre- and post-processing, create composite images and image classification).
• Describe characteristics of passive and active remote sensing systems (such as multispectral, LiDAR and Radar).
• Analyze and explain remote sensing purposes, advantages, and limitations.
• Select appropriate data set for remote sensing application based on spectral, temporal, radiometric and spatial resolution.
• Define and describe remote sensing and explain its applications and history.
• Describe commonly used remote sensing sensors and image acquisition methods.
• Define and describe basics of electromagnetic spectrum and interactions with various types of media.