Forecasting wildfire danger using deep learning.

A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc

Teleconnection-driven vision transformers for improved long-term forecasting

Data science for wildfire risk forecasting and monitoring

Wildfire risk assessment using remote sensing data - Prediction of Wildfires

Wildfire Management Tool (WMT) - desktop version, with the Campbell Prediction System (CPS). (This git repo was migrated from the original BitBucket/Mercurial repo.)

General Assembly Data Science Immersive (GA-DSI) Group Project - A machine learning model to predict the likelihood of a California wildfire based on historical weather and wildfire data.

This repository includes some applications of extreme value analysis techniques for modeling wildfire data. It's a work in progress :) — feel free to reach out if you'd like more details!

In this repository you will find the complete implementation of the model proposed in the paper entitled “Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain”