Prediction of Urban Surface Deformation by Integrating Time-Series InSAR and Spatiotemporal Dual-Driven Deep Learning

The document contains the core code for a spatio-temporal dual-driver prediction model, along with five benchmark models for comparison and validation: ARIMA, GRU, LSTM, XGboost, and Random Forest.