forest-fire-area-prediction and forest_fires_prediction

forest-fire-area-prediction

Emerging

forest_fires_prediction

Experimental

Maintenance 0/25

Adoption 5/25

Maturity 16/25

Community 17/25

Maintenance 0/25

Adoption 4/25

Maturity 8/25

Community 12/25

Stars: 11

Forks: 10

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: 5

Forks: 1

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About forest-fire-area-prediction

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.

forest-fire-management environmental-risk-assessment natural-disaster-preparedness resource-allocation wildfire-prediction

About forest_fires_prediction

nzlul03/forest_fires_prediction

The experiment project for predicting the burned area of the forest fires specifically in the northeast region of Portugal, based on the spatial, temporal and weather variables where the fire is spotted using deep learning.

Related comparisons

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