https://github.com/junzis/modes-tutorials
A set of tutorials on decoding Mode-S and ADS-B data
https://github.com/junzis/modes-tutorials
ads-b mode-s
Last synced: 3 months ago
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A set of tutorials on decoding Mode-S and ADS-B data
- Host: GitHub
- URL: https://github.com/junzis/modes-tutorials
- Owner: junzis
- Created: 2019-09-12T11:47:56.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-09-12T22:17:59.000Z (over 5 years ago)
- Last Synced: 2025-01-22T01:44:44.773Z (5 months ago)
- Topics: ads-b, mode-s
- Language: Jupyter Notebook
- Homepage:
- Size: 868 KB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Mode-S Workshop
This repository contains a set of tutorials that helps you to explore and decode common types of Mode-S data.
# Tutorials
## 1_quick_start
A quick view on what kind of useful information contains in ADS-B and Mode-S Comm-B communications.
## 2_understand_ADS-B_data
ADS-B is the most common open surveillance data. This tutorial walks you through the processing of decoding RAW ADS-B messages using `pyModeS` library.
## 3_understand_Comm-B_data
More state information are interrogated by air traffic control secondary surveillance data. These reply messages can be intercepted conveniently using the low-cost receivers. However, the challenge lies in estimating the Comm-B message types. This tutorial walks you through the processes of inferring Comm-B message types, as well as decoding them.
## 4_explore_trajectory
This turorial provides examples of using `pymodes-opensky` and `traffic` libraries to fetch and visualizing surveillance data from `opensky-network`.
# Dependencies
- `pyModeS`: https://github.com/junzis/pyModeS
- `pymodes-opensky`: https://github.com/junzis/pymodes-opensky
- `traffic`: https://github.com/xoolive/traffic