spaceml-org/pyrocast

End-to-end machine learning pipeline for the prediction of extreme and dangerous wildfires.

20
/ 100
Experimental

This tool helps meteorologists, wildfire incident commanders, and climate scientists predict dangerous and extreme wildfires by identifying pyrocumulonimbus clouds (pyroCb). It processes satellite imagery, weather data, and fuel information to forecast pyroCb formation and reveal the environmental factors driving these events. The output provides predictions of pyroCb presence and insights into their causes, aiding in early warning and resource allocation.

No commits in the last 6 months.

Use this if you need to forecast the likelihood and causal factors of extreme wildfire events indicated by pyrocumulonimbus clouds.

Not ideal if you need a fully complete and actively maintained tool, as development is ongoing and not yet finished.

wildfire-prediction meteorology climate-science remote-sensing emergency-response
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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1

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Jupyter Notebook

License

Last pushed

Apr 16, 2024

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/spaceml-org/pyrocast"

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