Readsb ADS-B Aircraft Local State Archive
The article provides a guide on creating a local historical aircraft state dataset using ADS-B data. It outlines the prerequisites and steps necessary for setting up the system with tools like Docker and Bento. The process involves collecting data from an ultrafeeder and processing it into Parquet files for querying with DuckDB.
- ▪The guide is intended for users already feeding ADS-B data to aggregators using a readsb-based decoder.
- ▪It details the use of Docker containers and the Bento stream processing tool for data management.
- ▪Users can create a local dataset that can be queried for historical aircraft state information.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3930213) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } John Fitzgerald Posted on May 28 • Originally published at johnfitzgerald.dev Readsb ADS-B Aircraft Local State Archive #adsb #modes #bento #readsb Introduction If you are feeding air traffic data to any of the ADS-B/ModeS aggregators, this post will show you how to create a local historical aircraft state dataset that you can query with DuckDB using Bento and Parquet files.
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