Applications of Machine Learning and Geospatial Technology to Assessing Urban Flood Susceptibility: A Case Study of Wadi Hanifa, West of Riyadh City
This study integrates machine learning, GIS, and remote sensing data to generate a highly accurate flood susceptibility map for the Wadi Hanifa basin in Riyadh, identifying specific high-risk neighborhoods and providing critical insights for urban flood mitigation planning.