README.md

Wildfire danger optimization using Deep Learning and Transfer Learning

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.

Tensorflow Pretrained CNN models

We used:

• Xception
• ResNet50
• VGG16
• VGG19
• ResNetV2
• EfficientNetV2L
• EfficientNetB7
• Some Custom CNN's based on the best results from above.