Supervised Classification of Drone Multispectral Images and Landcover Analysis


Course Description

In this activity provided by the Unmanned Aircraft System operations Technician Education Program (UASTEP), students will learn to analyze multispectral images collected from a drone or unmanned aircraft system. Specifically, students will use the ArcGIS Pro software package to visualize, classify, and calculate the areas covered by different types of land cover. In addition, students will compare the results generated by different supervised classification techniques.

Learning Outcomes


Basic Skill Requirements


The UASTEP projects is a collaboration between Palomar College and Southwestern College, as well as their partner high school districts, universities, and various industry partners. This project will not only increase the number of skilled UAS technicians in the workplace, but also seeks to foster interest in UAS among faculty members and students from different disciplines.

Course Features

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