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rasoberry-noaa
peilaus alkaen https://github.com/reynico/raspberry-noaa.git
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Merge pull request #19 from reynico/enable_biastee 		4 vuotta sitten
software File tidy-up 4 vuotta sitten
templates Merge branch 'master' into enable_biastee 4 vuotta sitten
.gitignore ignore map folder 4 vuotta sitten
HARDWARE.md header 4 vuotta sitten
INSTALL.md Docs: install git before start 4 vuotta sitten
LICENSE Create LICENSE 4 vuotta sitten
METEOR.md header 4 vuotta sitten
README.md header 4 vuotta sitten
common.sh Toggle audio save 4 vuotta sitten
header_1600.png header 4 vuotta sitten
install.sh Setup bias-tee during install 4 vuotta sitten
post.py Make twitter post optional 4 vuotta sitten
prune.sh Move common functions to a lib, add logging 4 vuotta sitten
receive.sh Merge branch 'master' into enable_biastee 4 vuotta sitten
receive_iss.sh Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
receive_meteor.sh Merge branch 'master' into enable_biastee 4 vuotta sitten
rectify.py multi threading 4 vuotta sitten
requirements.txt Syntax improvement, meteor m2 decoding, python3 4 vuotta sitten
schedule.sh Usability improvements, auto install script 4 vuotta sitten
schedule_iss.sh Usability improvements, auto install script 4 vuotta sitten
schedule_meteor.sh Usability improvements, auto install script 4 vuotta sitten
schedule_sat.sh Usability improvements, auto install script 4 vuotta sitten
sun.py Remove hardcoded tz 4 vuotta sitten

README.md

Raspberry NOAA

NOAA and Meteor 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 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

Hardware setup

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