7 citations · 17 across the 4 of their papers we have counts for
4 papers
Causal Graph Neural Networks for Wildfire Danger Prediction
Shan Zhao, Ioannis Prapas, Ilektra Karasante +4
Wildfire forecasting is notoriously hard due to the complex interplay of different factors such as weather conditions, vegetation types and human activities. Deep learning models s…
SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics
Ilektra Karasante, Lazaro Alonso, Ioannis Prapas +3
The global occurrence, scale, and frequency of wildfires pose significant threats to ecosystem services and human livelihoods. To effectively quantify and attribute the antecedent…
Kuro Siwo: 33 billion under the water. A global multi-temporal satellite dataset for rapid flood mapping
Nikolaos Ioannis Bountos, Maria Sdraka, Angelos Zavras +6
Global floods, exacerbated by climate change, pose severe threats to human life, infrastructure, and the environment. Recent catastrophic events in Pakistan and New Zealand undersc…
Deep Learning for Global Wildfire Forecasting
Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos +7
Climate change is expected to aggravate wildfire activity through the exacerbation of fire weather. Improving our capabilities to anticipate wildfires on a global scale is of utter…