Receiving Real-Time Imagery From Russia's Meteor-M N2 Satellite
An anonymous reader writes: The Meteor-M N2 is a low orbit Russian weather satellite which broadcasts live weather satellite images, similar to the APT images produced by the NOAA satellites. But Meteor digital images are however much better as they are transmitted as a digital signal with an image resolution 12x greater than the aging analog NOAA APT signals. Radio enthusiasts are receiving images with hacked cheap digital TV dongles. There is even the AMIGOS project which stands for Amateur Meteor Images Global Observation System: users around the world can contribute Meteor images through the internet to create worldwide real-time coverage.
A viewer for these images like MODIS Today does.
Passionately Indifferent
Of course this is how it should be, and meteo data isn't secret anyway, but don't they want to sell the data? Note that this satellite was launched only 1 1/2 years ago.
.. Let's see all those spots Google has blurred out at various govt's request :)
This story must be crazy old because M2 is offline and has been for a while. M1 is available but it's tumbling and nobody's sure when it's going to quit. Complete tutorial on how to do these kinds of decodes, plus normal NOAA APT reception here: http://init.sh/?p=275
Full disclosure. I own init.sh. No ads on the site.
"Freedom in the USA is not the ability to do what you want. It is the ability to stop others from doing what THEY want"
Who is going to break it to B.o.B? http://science.slashdot.org/st...
Quick search reveals this have been done long time ago, this page is dated 2010: http://www.r00t.cz/Sats/LRPT
Also this is civilian Russian satellite, just like NOAA sats are and it's quite well documented (for Russian sat that is).
So yes, it's thing nr #101 you can do with cheap RTL dongle, but it's nothing new.
For those that don't want to use Windows, here's an ugly tutorial for Decoding Meteor M2 Satellites with Ubuntu.
I'm disappointed that I wasn't able to find a standalone app, perhaps for a Raspberry Pi that would simply output the desired images without having to do all tha manual recording and decoding through a GUI.