Leveraging Machine Learning Paradigms and On-Premise Apparatus to Optimize Firebreak Placement and Accelerate Wildfire Containment
The main project resides in the threaded branch inside the folder FlamPredict. To run the project, run the file named "flamline.py". Additionally, for a run, data from LANDFIRE and WindNinja must be curated and the path for the data should be added to the file named "data.py". For a fire other than the 2022 Oak Fire, a different ignition point must also be set.