The use of Unmanned Aerial Vehicles (UAVs) or drones has surged in the last two decades, leading to remarkable changes in several remote sensing applications. However, the development of best practices for high-quality UAV mapping is often overlooked, representing a drawback for their adoption in different domains. UAV solutions then require an interdisciplinary approach, integrating different expertise and combining several hardware and software components on the same platform.

This course aims to deliver theoretical and hands-on knowledge to acquire, process and interpret UAV data. The course addresses three specific and alternative application domains: precision agriculture, mapping applied to water control in rural flood-affected areas and application in AI-based scene understanding.