Urban flood susceptibility mapping using deep and machine learning algorithms as a management tool: A case study of Sanandaj City, Iran

Urban flood susceptibility mapping using deep and machine learning algorithms as a management tool: A case study of Sanandaj City, Iran

Urban flooding is a complex natural hazard event that incorporates climate change impacts with urban planning and developing challenges, requiring comprehensive strategies for mitigation and adaptation. Flood susceptibility mapping is one of the first steps in an appropriate strategy to reduce econo...

Full description

Saved in:
Bibliographic Details
Main Authors: Ataollah Shirzadi, Aryan Salvati, Marzieh Hajizadeh Tahan, Himan Shahabi, Ehsan Jafari Nodoushan, Mohsen Ramezani, Mazlan Hashim, John J. Clague
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Ecological Indicators
Subjects:
Urban flooding
Susceptibility mapping
Deep and machine learning algorithms
Feature selection techniques
Geographic information system (GIS)
Iran
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25008167
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

http://www.sciencedirect.com/science/article/pii/S1470160X25008167

Similar Items