. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "M-GEO 5.0"@en . . . "Course"@en . "57" . "5.0" . "140.0" . "10.0" . "All students should have basic knowledge of remote sensing"@en . "Yes"@en . "No"@en . "2.0" . "The use of Unmanned Aerial Vehicles - UAVs (or drones) has surged in the last two decades, leading to\nremarkable changes in several remote sensing applications. However, the development of best practices\nfor high-quality UAV mapping is often overlooked representing a drawback for their adoption in different\ndomains. UAV solutions then require an interdisciplinary approach, integrating different expertise and\ncombining several hardware and software components on the same platform. This course aims to deliver\nboth theoretical and hands-on knowledge to acquire, process and interpret UAV data. The course\naddresses three specific and alternative application domains: precision agriculture, water management\nand scene understanding. The basics of UAV mapping using visible, multispectral and thermal images will\nbe given in the first module of the course. After this first module, the students will be asked to select one of\nthe different application domains."@en . "UAV for Earth Observation"@en . "UAV for Earth Observation"@en . "UAV for Earth Observation"@en .