WF24024A neural network model to study factors impacting the selection of hazardous fuel treatment types in Colorado’s national forests
This study utilises a neural network model to analyse historical land management data in Colorado’s national forests. It incorporates environmental variables to understand factors influencing past fuel treatment decisions. This method offers insights for improving future forest management and wildfire prevention strategies.
WF24024 Abstract | WF24024 Full Text | WF24024PDF (4.2 MB) | WF24024Supplementary Material (256 KB) Open Access Article