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Nico Rey 2df10e0172 add a common library 4 years ago
.noaa.conf Add log leve 4 years ago
METEOR.md Syntax improvement, meteor m2 decoding, python3 4 years ago
README.md Syntax improvement, meteor m2 decoding, python3 4 years ago
common.sh add a common library 4 years ago
fstab Added ramfs folder for audio storage 6 years ago
index.html First commit 6 years ago
nginx.cfg Move root folder outside home 6 years ago
post.py Syntax improvement, meteor m2 decoding, python3 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 Syntax improvement, meteor m2 decoding, python3 4 years ago
requirements.txt Syntax improvement, meteor m2 decoding, python3 4 years ago
schedule.sh Move common functions to a lib, add logging 4 years ago
schedule_iss.sh Syntax improvement, meteor m2 decoding, python3 4 years ago
schedule_meteor.sh Move common functions to a lib, add logging 4 years ago
schedule_sat.sh Move common functions to a lib, add logging 4 years ago
sun.py Syntax improvement, meteor m2 decoding, python3 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

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