
Accurate wildfire risk prediction is crucial for mitigating the significant impacts of wildfires on global vegetation, wildlife, and human health. This review systematically examines the key components of wildfire prediction research, including data selection, preprocessing, model selection, and performance evaluation.


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predicting-wildfire-risk-a-comprehensive-review-of-data-methods-and-advancements


Predicting Wildfire Risk: A Comprehensive Review of Data, Methods, and Advancements


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Applying CNNs and transfer learning for accurate wildfire risk prediction.


optimizing-wildfire-danger-prediction-with-transfer-learning


Optimizing Wildfire Danger Prediction with Transfer Learning
