Research Paper#Geospatial AI, Earth Observation, Time Series Forecasting🔬 ResearchAnalyzed: Jan 3, 2026 15:58
Multimodal Transformer for InSAR Ground Deformation Forecasting
Published:Dec 30, 2025 00:07
•1 min read
•ArXiv
Analysis
This paper introduces a multimodal Transformer model for forecasting ground deformation using InSAR data. The model incorporates various data modalities (displacement snapshots, kinematic indicators, and harmonic encodings) to improve prediction accuracy. The research addresses the challenge of predicting ground deformation, which is crucial for urban planning, infrastructure management, and hazard mitigation. The study's focus on cross-site generalization across Europe is significant.
Key Takeaways
Reference
“The multimodal Transformer achieves RMSE = 0.90 mm and R^2 = 0.97 on the test set on the eastern Ireland tile (E32N34).”