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Found 3 papers, 2 papers with code
Four-hour thunderstorm nowcasting using deep diffusion models of satellite
In terms of application, our system operates efficiently (forecasting 4 hours of convection in 8 minutes), and is highly transferable with the potential to collaborate with multiple satellites for global convection nowcasting.
TinyPredNet: A Lightweight Framework for Satellite Image Sequence Prediction
In this article, we propose a lightweight prediction framework TinyPredNet for satellite image sequence prediction, in which a spatial encoder and decoder model the intra-frame appearance features and a temporal translator captures inter-frame motion patterns.
Learning spatial- temporal consistency for satellite image sequence prediction
As an extremely challenging spatial–temporal sequence prediction task, satellite image sequence prediction has various and significant applications in real-world scenarios.
