Development of a machine learning system for detection of the atmospheric potential of wildfire-driven thunderstorms

Krell, EvanNguyen, ChuyenNachamkin, JasonPeterson, DavidHyer, EdwardKing, Scott A.Tissot, PhilippeEstrada, BetoTory, Kevin J.Campbell, James2023-09-252023-09-252023-08-30https://hdl.handle.net/1969.6/97385Machine Learning Pipeline: Align pyroCbs to satellite fires > Remove weaker fires > Add engineered features > For valid dataset, drop either fire features or unaligned pyroCbs > K-Best Feature Selection > Data balancing techniques > Train & Evaluate modelsen-USAttribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/Development of a machine learning system for detection of the atmospheric potential of wildfire-driven thunderstormsPresentation