Raspberry-NOAA V2: Raspberry Pi Automated NOAA and Meteor Weather Satellite Capture
Raspberry-NOAA is open source code and a set of scripts that allows you to set up a Raspberry Pi as an automated NOAA and Meteor weather satellite station with an SDR like an RTL-SDR. The software makes use of the Raspberry Pi version of WXtoIMG and meteor_decoder for decoding the satellites, a program called predict for predicting satellite passes, and various automatically generated cron scripts to schedule recording and processing.
Recently V2 has been released by Justin Karimi who builds on the work of the original creators. It seems that the webpanel has been upgraded and made mobile friendly, as well as many more enhancements that can be seen on the Release page notes.
I cannot seem to install this on a new rasp pi 4 installation (bullseye). Having trouble with dependencies:
so far can’t find libjpeg9 Nor can I find the ‘predict’ program for bullseye
WebPanel show’s wrong UTC settings.
the installation of raspberry-noaa-v2 with the script file it works fine but Im facing an problem with the WebPanel, I got one hour diference between webpanel and ATQ.
can someone help?
Best regards Frederico-
I built it a number of times. Needed a bit of editing but once I got my head round the rules it was great.
Take a look at the Discord channel who are great at helping.
So i gave it ago, it keeps failing on the end of the install for some reason. Im not an expert on pi’s or linux or even command lines, took my around an hour still didnt manage to get it to work. shame i really wante to use this.
Jimmy, what error are you getting? Be sure to do a “sudo apt update” and “sudo apt upgrade” prior to starting the install.
This is by far the easiest way to get NOAA and Meteor images on a raspi. My only complaint: It’s updated so frequently that my existing config files usually have to be re-configured to account for the changes. But if you don’t update the software – then this is not a concern. I image the updates will, at some point, slow down as the software is refined. But really, if you’ve thought about setting up a satellite imagery Pi, this is the way to do it.