To get a sense of what 17,000 mph ground speed looks like from a satellite's point of view: https://www.planet.com/pulse/la-to-vegas-in-52-seconds/
With orbiting satellites, most of the time the birds are over the ocean and empty stretches of land that most people don't care about. You're wasting most of your bandwidth and storage on places that someone might be interested in one day...
Don't get me wrong, the work you're doing is very cool, and global data sets are really fun! Unfortunately, I've found that the 'value density' of these global data sets isn't great.
How do you know nobody is interested in the 'ocean and empty stretches of land'? It could provide a lot of meteorological and geological data for scientists for example.
Our main use case was for wind and solar renewable energy, but we also entertained other uses, like architecture and agriculture. These data sets turned out to be difficult to monetize; while the continental US data set may have broken even, the rest of the globe never recouped the cost of storage, let alone the supercomputer time. It's not that people around the world weren't interested in the data, they just couldn't justify paying for it.