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Found 3 papers, 2 papers with code
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting
Hurricanes and coastal floods are among the most disastrous natural hazards.
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
Clouds containing ice particles play a crucial role in the climate system.
THRawS: A Novel Dataset for Thermal Hotspots Detection in Raw Sentinel-2 Data
Nevertheless, given the growing interest to apply Artificial Intelligence (AI) onboard satellites for time-critical applications, such as natural disaster response, providing raw satellite images could be useful to foster the research on energy-efficient pre-processing algorithms and AI models for onboard-satellite applications.
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