SeasFire has resumed its groundbreaking research in seasonal fire forecasting with the backing of ESA-phi lab.
On Thursday, March 7th, SeasFire kicked off its latest phase, outlining its ambitious objectives for the next 10 months:
- Advancing transformer architectures in deep learning models for enhanced prediction of Earth system behavior, specifically emphasizing seasonal fire forecasting.
- Developing an interactive visualization toolkit to facilitate understanding of Earth observation data and modeling outcomes.
- Enhancing CO2 emissions prediction from wildfires by integrating carbon flux data and Earth observations.
Welcoming the National and Technical University of Athens as a new partner, we’re expanding on our existing collaborations to elevate our objectives. With a focus on introducing more sophisticated models and captivating visuals, SeasFire’s renewed efforts are poised to deliver substantial advancements in seasonal wildfire forecasting and Earth system understanding.
