M. Wang

Building-Scale GeoAI for Short-Horizon Urban Inundation Prediction Under Sparse Labels and Distribution Shift: A Multi-Event Evaluation of Predictive Capability Boundaries in Taipei

Urban inundation forecasting in high-density cities is complicated by sparse incident labels, nonstationary rainfall, and changing sensing systems. Using Taipei as a case study, we develop a building-scale GeoAI decision-support prototype that integrates 30,421 Level of Detail 1 (LOD1) building-centroid nodes, 41,636 g...