This is the code for every implementation for the paper: Wildfire danger prediction optimization using deep learning. We used Transfer Learning to create accurate CNN models to detect if a forest has been destroyed by a wildfire or not to help the already existing FWI prediction. We also created some Regression models trained on Greek Wildfires in 2018.We showed that there's a very low correlation between the meteorological data and the destroyed area,thus,almost every wildfire in Greece is because of human hands.
We used:
- Xception
- ResNet50
- VGG16
- VGG19
- ResNetV2
- EfficientNetV2L
- EfficientNetB7
- Some Custom CNN's based on the best results from above.