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

Key Points

• Improved forecasts increase accuracy of live fuel moisture content, aiding in fire prevention.
• Forecasts demonstrate reduced errors by 25% over a two-week period through model enhancements.
• Analysis focuses on the integration of biophysical modelling and remote sensing data assimilation techniques.
• Enhancements could support more effective ecosystem management; external validation in diverse environments needed.