Live fuel moisture climatology dataset

Projects
Written By Julia Gaudinski

Principal Investigators: Angel Farguell Caus, Adam Kochanski

IAB Mentor: Brian D’Agostino (PG&E)

One of the most critical variables controlling the rate of spread and ignition potential is fuel moisture, a proportion of the quantity of water in the fuel to its dry mass. Live fuel moisture, apart from environmental conditions, depends on seasonal changes, evapotranspiration, and other long-term weather conditions which are difficult to model. This project will generate a climatology of bi-weekly live fuel moisture estimates for California from 2014 to 2022 at a 30-meter resolution using a satellite-based machine learning model. Landsat-8 and Sentinel-1 satellite data, HRRR weather data, and ancillary data will be leveraged to use the empirical model.

Julia Gaudinski
Previous

Pathways to wildfire resilient individuals & communities through Home Ignition Zone Mitigation
Next

Linking fire-atmosphere interactions to Canyon Fire eruption