Machine learning driven geospatial techniques for integrated urban flood susceptibility mapping in Jimma City Ethiopia

Abstract Urban flooding is a growing global concern, driven by rapid urbanization, inadequate infrastructure, land use changes, and climate variability. Identification and mapping of flood-prone areas are critical for effective flood risk management, urban planning, and disaster mitigation. Flood su...

Full description

Bibliographic Details

Main Authors:	Megersa Kebede Leta, Wakjira Takala Dibaba, Muhammad Waseem
Format:	Artigo
Language:	Inglês
Published:	Springer 2026-02-01
Series:	Discover Sustainability
Subjects:	Urban flood susceptibility Machine learning Jimma city Ethiopia Feature importance Geospatial analysis
Online Access:	https://doi.org/10.1007/s43621-026-02790-0
Tags:	Add Tag No Tags, Be the first to tag this record!