UBC-MDS/forest-fire-area-prediction

This project aims to predict the burned area of forest fires in the northeast region of Portugal, using meteorological and soil moisture data.

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Emerging

This tool helps forest fire management teams and environmental agencies predict the potential size of a forest fire. By inputting meteorological data (like temperature, wind, and humidity) and soil moisture information, it outputs an estimate of the burned area. This allows managers to better allocate resources and plan mitigation efforts for upcoming fire events.

No commits in the last 6 months.

Use this if you need a way to forecast the scale of a forest fire based on weather and ground conditions to inform your fire management strategies.

Not ideal if you need real-time, instantaneous predictions or want to forecast fire behavior for specific, localized hot spots rather than overall burn area.

forest-fire-management environmental-risk-assessment natural-disaster-preparedness resource-allocation wildfire-prediction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

11

Forks

10

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 28, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/UBC-MDS/forest-fire-area-prediction"

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