Numerical optimization

Enhancing two-week live fuel moisture content forecasts through biophysical modelling and remote sensing data assimilation

Live Fuel Moisture Content (LFMC) is a critical determinant of wildfire ignition and spread. Accurate forecasting of LFMC dynamics, particularly at a two-week timescale, is essential for early wildfire danger assessment. While satellite remote …

Sub-daily live fuel moisture content estimation from Himawari-8 data

Live fuel moisture content (LFMC) is a crucial variable affecting fire ignition and spread. Satellite remote sensing has been effective in estimating LFMC over large spatial scales, but continuous sub-daily (e.g., every 10 mins to hourly during …