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spatial-interpolation

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Emergency Flood Forecasting (2011) 💧 How Do You Predict Floods When All Models Fail? : Grassroots forecasting system that helped 13M people prepare during Thailand's worst disaster - using only existing water data and adaptive research-based models, when conventional prediction tools broke down.

  • Updated Oct 8, 2025
  • R

Source Codes for super resolution of the lunar elemental abundance map using a semi-supervised deep spatial interpolation model. This hybrid approach combined ResNet50 for spatial feature extraction with Graph Neural Network (GATv2Conv) layers and Convolutional Neural Networks (CNNs), followed by fusion layers.

  • Updated May 22, 2025
  • Jupyter Notebook

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