Wildfire Risk

Wildfire risk assessment is a critical area of research focusing on predicting and mitigating the increasing frequency and severity of wildfires globally. Current research emphasizes the development and application of advanced machine learning models, including deep learning architectures and explainable AI, to analyze diverse datasets such as satellite imagery, meteorological data, and historical fire records for improved risk prediction. These efforts aim to enhance the accuracy and spatial resolution of wildfire risk maps, informing crucial decisions related to forest management, infrastructure resilience (e.g., utility grid hardening), and carbon offset project viability. Ultimately, improved wildfire risk assessment contributes to more effective prevention, mitigation, and resource allocation strategies.