Analyzing Lightning Discharges with an RTL-SDR and the Sage Network

Sage is a project working on creating geographically distributed sensor systems including cameras, microphones, weather and air quality stations in order to benefit the work of scientists. Recently on their GitHub they have uploaded a Jupyter Notebook showing how they have used an RTL-SDR V3 on a Linux Laptop to analyze lightning discharges. When lightning strikes, it creates a broadband RF pulse generally across the lower frequencies. This is how live lightning maps like Blitzortung work.

In their example Sage use a dipole antenna and analysis frequency of 30 MHz. The notebook doesn't offer much additional information, but provides Python Numpy and Scipy code which can be used to detect and plot the lightning pulses.

Graphing Lightning Pulses for the Sage Network
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This application is crying out for ML (Machine Learning), even tinyML on cheap small boards would probably be OK. Check out Edge Impulse:

Here’s tinyML: