From: Shapley-based interpretation of deep learning models for wildfire spread rate prediction
Sr # | Feature symbol | Type | Description |
---|---|---|---|
1 | T (°C) | Input | Temperature of the air |
2 | RH (%) | Input | Humidity level in the environment |
3 | M (%) | Input | Moisture content in dead fuel |
4 | C (%) | Input | Extent to which vegetation has dried or cured |
5 | U10 (km) | Input | Wind speed measured at 10 m above the ground |
6 | P (h−1) | Input | Classification of pasture (undistributed, cut/grazed, or eaten-out) |
7 | D (h−1) | Input | Data classification (wildfires or experimental fires) |
8 | ROS (km h−1) | Output | Speed at which the fire spreads forward |