Unmanned Aircraft Systems/Drones

Embedded AI in Smart Robots, Drones, IoT: Teaching Emerging Technologies in the Classroom

This presentation, made available by the University of Hawaii at Honolulu, provides information about teaching Artificial Intelligence (AI) and its use in Smart Robots, Drones, and the Internet of Things in a classroom setting. AI is defined as “a technique which enables machines to mimic human behavior.” Artificial neural networks are described in detail, including:

Embedded AI in Smart Robots, Drones, IoT: Teaching Emerging Technologies in the Classroom Read More »

DRONETECH: Drones and Geospatial Applications

This collection includes materials from the DroneTech Educator Workshop: Drones and Geospatial Applications that was held by the National Center for Autonomous Technologies (NCAT). “This workshop … focus[ed] on developing and integrating practical applications of Drone and Geospatial Technology use into curriculum. Ongoing applied research projects … provide[d] data and examples of how drones and

DRONETECH: Drones and Geospatial Applications Read More »

UAS Field Camp

This course applies all of the theory and skills taught in the first two GUAS courses through hands-on field-based experience. Students will be responsible for planning and executing sUAS flight plans. They will spend their time in the field at FAA-approved flight sites to demonstrate live operation of sUAS platforms. This course follows up with

UAS Field Camp Read More »

Supervised Classification of Drone Multispectral Images and Landcover Analysis

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

Supervised Classification of Drone Multispectral Images and Landcover Analysis Read More »

An Introduction to Visualizing and Analyzing LiDAR Data from Drones

In this 4-page activity, provided by the Unmanned Aircraft System operations Technician Education Program (UASTEP), students are introduced to some of the properties (i.e. return value, point count) of LiDAR data gathered by a sensor mounted on a drone or unmanned aircraft system. In addition, students use spatial analysis tools in the ArcGIS Pro software

An Introduction to Visualizing and Analyzing LiDAR Data from Drones Read More »

Unsupervised Classification of Drone Multispectral Images and Landcover Analysis

In this activity provided by the Unmanned Aircraft System operations Technician Education Program (UASTEP), students will be introduced to a multispectral sensor that can be used with a drone or unmanned aircraft system. In addition, students will analyze multispectral data from the sensor by using a variety of geoprocessing tools found in the ArcGIS Pro

Unsupervised Classification of Drone Multispectral Images and Landcover Analysis Read More »

Skip to content