Universitas Bandar Lampung

Integrated assessment of flood susceptibility and population exposure using machine learning: a case study of Wajima, Japan

Floods increasingly disrupt daily life and cause substantial social and economic losses. Although flood susceptibility mapping (FSM) is widely used to identify flood-prone areas, the spatial relationship between FSM and population exposure has received relatively little attention...