Comment to Allsky Camera Facebook group about context and daytime uses of cameras

I am looking at daytime uses of all sky cameras. Satellite images are a bit too bulky and not enough resolution for correlations. Need multiple cameras to recover 3D of clouds. I have seen groups aiming at comets, planes, clouds, rain, sky color, daytime astronomy (is possible), sun and moon tracking, shadows, reflections, multispectral, lightning, correlation with meteorological sensor arrays, wind, thermal radiation, frame for lidar. Just a note to ask you to think about it. A tiny bit of javascript on the viewing end can put most anything on the overlays for people to interact with. Videos run in browsers or directly from servers, and they all can run overlay software. Still asking Elon Musk to put allsky cameras on all the new satellites (pointing outward and shared with everyone on earth). Also radio telescopes, electromagnetic, gravitational imaging networks looking outward. Different sensors – sharing, algorithm development, correlations, overlays and teaching anyone in the world who wants to know what is in the sky. Groups looking downward through the earth. Neutrino telescopes to see the interiors of the sun and moon. Lots going on – on the Internet and in the world. Collecting the data is just the start of a great experiment in global human sharing. I think it will be good for the human species.

4.8 Billion with some access to the Internet, 1.92 Billion first time learners from 5 to 20 years. About 25,000 universities and colleges. But many more high school and middle school. Millions of towns and cities each with groups looking at the sky and most with no permanent access to the sky 24/7. If you have dark skies, see about contacting local cities and schools to share the overview of the sky. Keep lossless archives for research and correlations. Get a real website with proper tools for sharing this kind of development and this kind of community. Make sure to put “donate” and “support” on every worthwhile effort. Bottom up global networks survive when there are ways to recognize and reward good efforts, and to share best practices and common knowledge globally in lossless and auditable ways.

Richard Collins, Director, The Internet Foundation
Marcelo De Cicco
You have nice clear skies. Have you tried calibrating your lens using the positions of those many stars? Tracking with the rotation of the earth means that you know the centers of the stars from their absolute positions. That means individual monitoring of variable stars, and use of stables stars for reference and calibration. Even motion of the camera (add 3 axis accelerometers and gyros to track small motions) lets you know the small changes in the positions of the pixels. Subpixel resolutions methods all depend on interpolation and mapping to smaller grids. Smooth motion is equivalent to infinitely smooth interpolation, but it depends on position (inertial) data that can be grainy or noisy.
I have not seen anyone stacking high quality raw camera image at high frame rates for days or weeks of the same sky – planets, moon, bright stars, galaxies. But it is possible, and trying improves methods.
Richard Collins, Director, The Internet Foundation
Richard K Collins

About: Richard K Collins

Director, The Internet Foundation Studying formation and optimized collaboration of global communities. Applying the Internet to solve global problems and build sustainable communities. Internet policies, standards and best practices. Consulting and advising organizations of all sizes. Not for profit. When you get down to it, all these papers on the Internet and published, were originally just letters between friends and people of similar interest. Current projects: Best practices for all Internet sites, and for global communities using the Internet. Improving model and data flows, establishing end-to-end lossless and open channels. Particularly for global scale issues such as "covid", "global climate change", "online education", "solar system colonization", "research", "development", and "learning". Education and Interests: Gravitational sensors, sensor networks, modeling and simulation of all things, encouraging development of a gravitational engineering industry, calibrating new gravitational sensors.

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