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.
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.
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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.
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MIT
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Last pushed
Mar 28, 2023
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