iss meteor noaa raspberry-noaa raspberry-pi raspberrypi sstv weather wxtoimg

Justin Karimi 6a9857fc70 Add Timezone and Lang Configuration for Web Add functionality in the installer to enable timezone and language configuration.		пре 3 година
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software	File tidy-up	пре 4 година
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HARDWARE.md	header	пре 4 година
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METEOR.md	header	пре 4 година
README.md	ISS: ISS support	пре 3 година
WEBPANEL.md	add webpanel data	пре 3 година
WORKING.md	Add script to prune images	пре 3 година
common.sh	add missing rm's	пре 4 година
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prune.sh	Add script to prune images	пре 3 година
receive.sh	add receive iss	пре 3 година
receive_iss.sh	Create thumb for second picture	пре 3 година
receive_meteor.sh	add receive iss	пре 3 година
rectify.py	toggle image flip for meteor night passes	пре 4 година
requirements.txt	Bump Pillow version	пре 4 година
schedule.sh	add receive iss	пре 3 година
schedule_iss.sh	ISS: remove hardcoded value	пре 3 година
schedule_meteor.sh	Exit if scripts are run as root	пре 3 година
schedule_sat.sh	Exit if scripts are run as root	пре 3 година
sun.py	pick bugfix on timezone	пре 4 година
test_reception.sh	Exit if scripts are run as root	пре 3 година

README.md

NOAA and Meteor automated capture using Raspberry PI

Most of the code and setup stolen from: Instructables

New Features!

ISS SSTV reception and decoding
A webpanel!
Meteor M2 full decoding!
Nginx webserver to show images
Timestamp and satellite name overlay on every image
WXToIMG configured to create several images (HVC,HVCT,MCIR, etc) based on sun elevation
Pictures can be posted to Twitter. See more at argentinasat twitter account

Install

There’s an install.sh script that does (almost) everything at once. If in doubt, see the install guide

Post config

Setup Twitter auto posting feature

How do I know if it is running properly?

This project is intended as a zero-maintenance system where you just power-up the Raspberry PI and wait for images to be received. However, if you are in doubt about it just follow the working guide

Hardware setup

Raspberry-noaa runs on Raspberry PI 2 and up. See the hardware notes