DeepGEFF
The current Global ECMWF Fire Forecasting (GEFF) system is based on empirical models implemented in FORTRAN.
The project intends to explore whether fire danger forecasting using Deep Learning can achieve skills comparable to the operational GEFF system and whether artificial intelligence can reveal important relationships between fire danger and event occurrence through the inclusion of additional variables, optimisation of model architecture & hyperparameters.
Finally, conditional to the suitability of the available data, a preliminary fire spread prediction tool will be developed to support first responders and monitoring activities.
Follow the developments on GitHub
Mentors
- Claudia Vitolo
- Tianran Zhiang
Participants
Roshni Biswas
Anurag Saha Roy
Tejasvi S Tomar