Himawari |
Himawari |
Jul 21 2015, 05:20 PM
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Senior Member Group: Members Posts: 1639 Joined: 5-March 05 From: Boulder, CO Member No.: 184 |
Here is a real-time full color view of the Earth from the Himawari satellite, updated every half hour or so. This geostationary weather satellite is stationed over the longitude of Japan. The view is complete with orange sunglint off the ocean. You can click on the link to see the latest update.
http://www.jma.go.jp/en/gms/largec.html?ar...=1&mode=UTC I previously posted this high resolution sample image in the Whole Earth Images thread. We can look around for the full resolution real-time data archive that would be about 11000 pixels wide. -------------------- Steve [ my home page and planetary maps page ]
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Sep 16 2015, 09:39 PM
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Junior Member Group: Members Posts: 23 Joined: 15-February 14 Member No.: 7141 |
Thanks, Steve and Richard, for the kind words and good advice. I've been continuing to work on this project as I have time. Progress has been somewhat slow, as I ran into a bug in the Butterflow library when I tried to correct for the missing frames - however, I reached out to the creator of the library and he has been kind enough to help me out and fix the issues.
Last night was the first time I got the new code running with missing-image correction, and I let it run all night to render five more videos, with one day of data each. Here are the results - again, make sure you have the Youtube quality setting set manually to "1080p60" for best viewing: https://www.youtube.com/watch?v=PXD9MvLSXCk...ICG0x6Vu3mV9Uma These are even slower, with 1 real frame and 59 interpolated frames per second of video (previous video was twice as fast). I think these may even be a little too slow for my taste, I will probably render to a playback speed ~halfway in between the two in the future. Each 90-second x 60-FPS video takes about an hour and a half to render on my Macbook Pro, which is another limiting factor. But I hope to get it running soon on my desktop machine with a fast CPU+GPU, which should improve the render time by quite a bit. It's still in a bit of a messy state, but my script is on Github in case its helpful for anyone else. @Steve thanks very much for the notes re: projection, I knew the basic concepts but didn't know what it was called. I have been doing some reading about it, and may try to estimate some of the remaining unknown parameters soon to see how closely I can map lat/long to pixel location in order to do typhoon tracking. However, for now I am just focused on setting up my existing script to be as repeatable and hands-off as possible. I would really like to be able to just run it once every day, and have the script take care of not only rendering the videos but also splicing them together and uploading them to Youtube. This way I could have a nearly-automated Youtube account which posts new "Earth from Space" videos daily. @Richard I'm not quite sure what else I'll apply this to yet. I've tried a couple of other quick and dirty experiments, with some decent results and some not-so-decent. The images really need to be close enough together (temporally) for the algorithm to detect feature movement from one image to the next - if the features move too far, you end up with some really gnarly artifacts that look much worse than the original, low-framerate video. But some Jupiter photos would be a great application. I'm also looking forward to applying the technique to the DSCOVR Epic images once they start getting released regularly later this year - hopefully the planned cadence of 1 image per 30 minutes will be enough to get good results. |
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