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rasoberry-noaa
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Koks: 606e0bc5e3
Atzari Tagi
${ item.name }
Izveidot atzaru ${ searchTerm }
no '606e0bc5e3'
${ noResults }
 ZIP  TAR.GZ
Nico Rey 606e0bc5e3 Add log leve pirms 4 gadiem
.noaa.conf Add log leve pirms 4 gadiem
METEOR.md Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
README.md Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
fstab Added ramfs folder for audio storage pirms 6 gadiem
index.html First commit pirms 6 gadiem
nginx.cfg Move root folder outside home pirms 6 gadiem
post.py Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
prune.sh Prune old audio and map files pirms 6 gadiem
receive.sh Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
receive_iss.sh Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
receive_meteor.sh Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
rectify.py Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
requirements.txt Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
schedule.sh Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
schedule_iss.sh Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
schedule_meteor.sh Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
schedule_sat.sh Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem
sun.py Syntax improvement, meteor m2 decoding, python3 pirms 4 gadiem

README.md

NOAA Automated capture using Raspberry PI

Most of the code and setup stolen from: Instructables

New Features!

  • Meteor M2 full decoding!
  • Nginx webserver to show images.
  • Timestamp and satellite name over every image.
  • WXToIMG configured to create several images (HVC,HVCT,MCIR, etc).
  • Pictures are posted to Twitter. See more at argentinasat twitter account.
  • Wiki is updated!
  • Audio files are stored on a RAMFS partition. Happen to had some glitches on image reception

Manual work

Important notes

  • I tried to run this on a Raspberry PI Zero Wifi, no luck. Seems like it’s too much load for the CPU. Running on a Raspberry PI 2+ is ok. See Wiki’s hardware notes page.
  • Code was a bit updated on how it handles the UTC vs timezone times.

To do