Identifying and mapping the spatial distribution of regions prone to snowmelt flood hazards in the arid region of Central Asia: A case study in Xinjiang, China

Identifying and mapping the spatial distribution of regions prone to snowmelt flood hazards in the arid region of Central Asia: A case study in Xinjiang, China

Abstract Snowmelt floods are highly hazardous meteorological disasters that can potentially threaten human lives and property. Hence, snowmelt susceptibility mapping (SSM) plays an important role in flood prevention systems and aids emergency responders and flood risk managers. In this paper, a meth...

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Bibliographic Details
Main Authors: Yan Liu, Jun min Zhang, Hong Huo, Yang Li, Xin yu Lu, Ni Wang, Yun Yang
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Journal of Flood Risk Management
Subjects:
large scale
multisource remotely sensed data
random forest algorithm
snowmelt susceptibility mapping
Online Access:https://doi.org/10.1111/jfr3.12947

Internet

https://doi.org/10.1111/jfr3.12947

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