Du kannst nicht mehr als 25 Themen auswählen Themen müssen entweder mit einem Buchstaben oder einer Ziffer beginnen. Sie können Bindestriche („-“) enthalten und bis zu 35 Zeichen lang sein.
 
 
 
 
 
 
Nico Rey 8229ee0dfa Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
.noaa.conf Added ramfs folder for audio storage vor 6 Jahren
METEOR.md Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
README.md Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
fstab Added ramfs folder for audio storage vor 6 Jahren
index.html First commit vor 6 Jahren
nginx.cfg Move root folder outside home vor 6 Jahren
post.py Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
prune.sh Prune old audio and map files vor 6 Jahren
receive.sh Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
receive_iss.sh Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
receive_meteor.sh Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
rectify.py Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
requirements.txt Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
schedule.sh Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
schedule_iss.sh Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
schedule_meteor.sh Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
schedule_sat.sh Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren
sun.py Syntax improvement, meteor m2 decoding, python3 vor 4 Jahren

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