Forecasting wildfire danger using deep learning.
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Updated
Jan 23, 2022 - Jupyter Notebook
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.
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”
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