FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation

arXiv:2405.14232v1 Announce Type: new
Abstract: Near-real time estimation of damage to buildings and infrastructure, referred to as damage nowcasting in this study, is crucial for empowering emergency responders to make informed decisions regarding evacuation orders and infrastructure repair priorities during disaster response and recovery. Here, we introduce FloodDamageCast, a machine learning framework tailored for property flood damage nowcasting. The framework leverages heterogeneous data to predict residential flood damage at a resolution of 500 meters by 500 meters within Harris County, …

abstract arxiv augmentation building buildings cs.lg data decisions disaster disaster response emergency flood infrastructure machine machine learning near nowcasting orders recovery repair study type