HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands
Researchers have developed HaorFloodAlert, a machine learning ensemble designed to predict flash floods in Bangladesh's haor wetlands up to 72 hours in advance. This system addresses limitations of existing flood prediction models that are ill-suited for the unique backwater dynamics of these flat basins. By employing a deseasonalized approach and integrating Sentinel-1 SAR data, HaorFloodAlert achieves high accuracy in forecasting flood probability and provides a tiered alert system. AI
IMPACT Enhances early warning systems for flash floods in vulnerable regions, potentially saving harvests and lives.