Coastal Flood Risk Simulation and Mitigation Using ArcGIS Pro and Deep Learning Techniques

ArcGIS Pro 와 딥러닝 기법을 활용한 해안 지역 홍수 위험 시뮬레이션 및 완화 연구

This study highlights the integration of ArcGIS and Deep Learning models to advance coastal flood risk prediction and prevention. By combining spatial analysis with predictive modeling, the proposed approach improves the accuracy and resolution of flood mapping, supporting faster and more effective disaster preparedness. Our results demonstrate that the model can be adapted to prioritize precision, recall, or balance, depending on application needs. This integrated method shows strong potential for expanding to other vulnerable coastal areas, contributing to enhanced global flood resilience.