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rasoberry-noaa
peilaus alkaen https://github.com/reynico/raspberry-noaa.git
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Koodi Ongelmat 0 Julkaisut 8 Wiki Toiminta
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Nico Rey af70f21dba multi threading 4 vuotta sitten
.noaa.conf Add log leve 4 vuotta sitten
METEOR.md Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
README.md Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
common.sh add a common library 4 vuotta sitten
fstab Added ramfs folder for audio storage 6 vuotta sitten
index.html First commit 6 vuotta sitten
nginx.cfg Move root folder outside home 6 vuotta sitten
post.py Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
prune.sh Move common functions to a lib, add logging 4 vuotta sitten
receive.sh Move common functions to a lib, add logging 4 vuotta sitten
receive_iss.sh Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
receive_meteor.sh Move common functions to a lib, add logging 4 vuotta sitten
rectify.py multi threading 4 vuotta sitten
requirements.txt Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
schedule.sh Move common functions to a lib, add logging 4 vuotta sitten
schedule_iss.sh Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
schedule_meteor.sh Move common functions to a lib, add logging 4 vuotta sitten
schedule_sat.sh Move common functions to a lib, add logging 4 vuotta sitten
sun.py Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten

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