Nico Rey 32ccdd4eac check for installed index.html		4 年前
modprobe.d	Usability improvements, auto install script	4 年前
.gitignore	ignore map folder	4 年前
.noaa.conf	Add log leve	4 年前
METEOR.md	Usability improvements, auto install script	4 年前
README.md	Usability improvements, auto install script	4 年前
common.sh	woops	4 年前
fstab	Added ramfs folder for audio storage	6 年前
index.html	First commit	6 年前
install.sh	check for installed index.html	4 年前
medet_arm	Usability improvements, auto install script	4 年前
nginx.cfg	Move root folder outside home	6 年前
post.py	Syntax improvement, meteor m2 decoding, python3	4 年前
predict.qth	Usability improvements, auto install script	4 年前
prune.sh	Move common functions to a lib, add logging	4 年前
receive.sh	Set exec bit	4 年前
receive_iss.sh	Syntax improvement, meteor m2 decoding, python3	4 年前
receive_meteor.sh	Move common functions to a lib, add logging	4 年前
rectify.py	multi threading	4 年前
requirements.txt	Syntax improvement, meteor m2 decoding, python3	4 年前
schedule.sh	Usability improvements, auto install script	4 年前
schedule_iss.sh	Usability improvements, auto install script	4 年前
schedule_meteor.sh	Usability improvements, auto install script	4 年前
schedule_sat.sh	Usability improvements, auto install script	4 年前
sun.py	Syntax improvement, meteor m2 decoding, python3	4 年前
wxtoimg-armhf-2.11.2-beta.deb	Usability improvements, auto install script	4 年前

NOAA Automated capture using Raspberry PI

Most of the code and setup stolen from: Instructables

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

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

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.