This is a write-up on StratoSpore, a payload I designed and launched to the stratosphere. The goal was to test if we could estimate physical altitude based on algae fluorescence (using a lightweight ML model trained on the sensor data).
The blog post covers the full engineering mess/process, including:
- The Hardware: Designing PCBs for the AS7263 spectral sensor and Pi Zero 2 W.
-The biological altimeter: How I tried to correlate biological stress (fluorescence) with altitude.
- The Communications: A custom lossy compression algorithm I wrote to smash 1080p images down to 18x10 pixels so I could transmit them over LoRA (915 Mhz) in semi-real-time.
The payload is currently lost in a forest, but the telemetry data survived. The code and hardware designs are open source on GitHub: https://github.com/radeeyate/stratospore
I'm happy to answer technical questions about the payload, software, or anything else you are curious about! Critique also appreciated!
nonameiguess•2mo ago
Who cares, though? Scientists train for many years to learn the details of experimental methods in their specific domain. The engineering and hacking experience on its own is what really matters here.