LiDAR Data Processing and GIS Integration


Course Description

This course will introduce students to basic concepts in Light Detection and Ranging (LiDAR). Students will also learn to process LiDAR data collected by unmanned aircraft systems (UAS), and analysis these data using Geographic Information Systems (GIS).

Learning Outcomes

Upon successful completion of the course, the student will be able to:
  • Evaluate the difference between point cloud data from photogrammetry versus LiDAR.
  • Analyze the different applications of LiDAR in the UAS industry.
  • Compare the advantages and disadvantages of manual versus automated point cloud classification techniques.
  • Implement the workflow needed to process and analyze LiDAR data.
  • Basic Skill Requirements

    Appropriate Language and/or Computational Skills.

    Wing H. Cheung
    Wing Cheung is a Professor of Geography and GIS at Palomar College in San Marcos, California. In addition to his teaching duties, he coordinates the GIS, Drone Technology and Environmental Studies programs at the College. He is Principle Investigator for the NSF-funded UAS Operations Technician Education Program (UASTEP), and Assistant Director with the NSF-funded Geospatial Technology Center of Excellence.

    Course Features

    Skip to content