wildfire-forecasting
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Forecasting wildfire danger using deep learning.
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Jan 23, 2022 - Jupyter Notebook
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
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Jan 13, 2025 - Jupyter Notebook
Teleconnection-driven vision transformers for improved long-term forecasting
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Nov 1, 2023 - Python
Data science for wildfire risk forecasting and monitoring
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Aug 19, 2024 - Jupyter Notebook
Wildfire risk assessment using remote sensing data - Prediction of Wildfires
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May 10, 2024 - Jupyter Notebook
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Dec 13, 2021 - Jupyter Notebook
Wildfire Management Tool (WMT) - desktop version, with the Campbell Prediction System (CPS). (This git repo was migrated from the original BitBucket/Mercurial repo.)
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Aug 29, 2021 - Java
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.
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Jan 4, 2022 - Jupyter Notebook
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!
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Jan 27, 2025 - R
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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Aug 23, 2022 - R
A probabilistic approach to wildfire spread prediction using a denoising diffusion model
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Sep 6, 2024 - Jupyter Notebook
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