 This paper discusses how unmanned aerial vehicle, UAV, images can be improved using practical image-based sensor correction techniques. These techniques include reducing noise, modifying incoming radiance, and correcting for lens distortions. By applying these techniques, the quality of the raw multispectral imagery is enhanced, making it easier to perform quantitative image analysis. This article was authored by Arco Lucio and Joshua Kelsey.