Collect and process ADSB observations

I want to know more about the aircraft around me such as what a "normal" level of activity might be or the types of aircraft. Since I am only interested in aircraft which operate locally, and I don't need geographic displays etc. (already well supported by websites such as https://https://adsbexchange.com/).

In addition, I want to know more about the aircraft than is reported via ADSB (i.e. aircraft model and registration). To learn more, I use ADSBexchange which offers an inexpensive REST API. For best results, I collect from ADSBexchange on each observation.

ADSB Collection runs on a standard Raspberry Pi using a rtl-sdr running dump1090 or dump978.

Collection runs once per minute from cron(8). The collected output is written to json formatted file and uploaded to AWS S3 for later processing.

There can be multiple collection stations writing to AWS S3.

Processing consists of moving collected ADSB observations from S3 to a machine for parsing and loading into postgres.

For processing, create a postgresql database and populate with the script "add_schema.sh".

Then run the script "parser.sh" to parse collected files and load into postgresql.

mellow-hyena produces simple reports about upload and observations.