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Nico Rey 3ea3f66d2b Usability improvements, auto install script 4 years ago
modprobe.d Usability improvements, auto install script 4 years ago
.gitignore Usability improvements, auto install script 4 years ago
.noaa.conf Add log leve 4 years ago
METEOR.md Usability improvements, auto install script 4 years ago
README.md Usability improvements, auto install script 4 years ago
common.sh Usability improvements, auto install script 4 years ago
fstab Added ramfs folder for audio storage 6 years ago
index.html First commit 6 years ago
install.sh Usability improvements, auto install script 4 years ago
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post.py Syntax improvement, meteor m2 decoding, python3 4 years ago
predict.qth Usability improvements, auto install script 4 years ago
prune.sh Move common functions to a lib, add logging 4 years ago
receive.sh Move common functions to a lib, add logging 4 years ago
receive_iss.sh Syntax improvement, meteor m2 decoding, python3 4 years ago
receive_meteor.sh Move common functions to a lib, add logging 4 years ago
rectify.py multi threading 4 years ago
requirements.txt Syntax improvement, meteor m2 decoding, python3 4 years ago
schedule.sh Usability improvements, auto install script 4 years ago
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sun.py Syntax improvement, meteor m2 decoding, python3 4 years ago
wxtoimg-armhf-2.11.2-beta.deb Usability improvements, auto install script 4 years ago

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

Install

There’s an install.sh script that does everything at once. If in doubt, see the Wiki’s install and config page.

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