Routine image generation is a key tool in monitoring the performance of products from satellites. For example, one can utilize the 11 micron brightness temperature along with the cloud mask overlaid to determine the performance of the cloud mask over the course of a day, in a wide range of conditions. In addition, the production of global composites of cloud properties can be used for both informational as well as analytical purposes. Finally, utilizing data from other sensors, such as lidar data from CALIPSO, one can validate the products being produced. Utilizing the fifth generation of the Man computer Interactive Data Access System (McIDAS-V), which is the next generation in the University of Wisconsin's Space Science and Engineering Center's 35-year history of sophisticated McIDAS software packages, we will demonstrate the ability to perform these key functions needed by scientists to monitor and validate their products produced from not only the current generation of GOES imagers, but JPSS and GOES-R as well.