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Office Hours w/ TNC & LANDFIRE: Validating a Machine Learning-Based Fuel Management Model for Southern California Using LANDFIRE Products

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September 25th, 2024 at 1pm EST


Colorado State University Post-Doc, Lilly Jones will explore the development of a dynamic fuel management model for Southern California, built using Sentinel-2 data, MESMA, and random forest methods. The model’s accuracy will be validated using LANDFIRE products, ensuring its predictive capacity aligns with real-world conditions. The talk will focus on how this integrated approach enhances fire hazard assessments and the implications for wildfire management strategies.