 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. This allows for better quality of the raw multispectral imagery, which can then be used for further quantitative image analysis. This article was authored by Arco Lucier and Joshua Kelsey.