 Hyperspectral sensors have become increasingly popular for use in agriculture and forestry applications as they offer greater spectral resolution than traditional RGB and multispectral sensors. These sensors are now being integrated into unmanned aerial vehicles, UAVs, for more efficient and cost-effective data collection. Hyperspectral sensors require extensive pre- and post-flight processing to extract meaningful data from the large amount of collected data. Several software packages exist to simplify this process, allowing users to directly access level one data without having to worry about the mathematical complexity involved. Research has also shown that UAV hyperspectral systems can be used to detect crop health issues, monitor water stress levels, and identify tree species. This article was authored by Telmoideo, Jonas Ruska, Luis Padu, and others.