 Advancements in robotics, computer vision, and sensor technology have enabled new ultra-high spatial and high spectral resolution remote sensing tools with unmanned aerial vehicles, UAVs, leading to a revolution in geospatial data collection. However, the diversification of sensing systems and user applications challenges the common application of good practice procedures that ensure data quality. This review evaluates state-of-the-art methods in UAV spectral remote sensing, discussing sensor technology, measurement procedures, geometric processing, and radiometric calibration based on literature and experimentation. The article follows the journey of reflected energy from the environment to its representation as a pixel in a map or 3D spectral point cloud, reflecting on the current revolution in remote sensing and identifying trends, opportunities, and limitations. This article was authored by Helga Ossin, Aja Honkavara, Arco Lucier, and others. We are article.tv, links in the description below.