Fire Remote Sensing

The work of the Fire Remote Sensing Group led by Dr. Valero focuses on the quantitative characterization of wildfire behavior and the ingestion of fire dynamics observations into models. Specific topics  being investigated include (i) the development of hardware and software solutions to measure fire behavior using airborne optical sensors, (ii) the analysis of observed fire behavior metrics and their relationship with weather, topography, and vegetation, (iii) the development of data-driven fire modeling capabilities through the implementation of inverse modeling and data assimilation techniques, (iv) the quantification of uncertainties in fire dynamics models, and (v) the integration of machine learning algorithms and high-fidelity physics-based fire models.