A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling

A Positive-Unlabeled Learning Algorithm for Urban Flood Susceptibility Modeling

Flood susceptibility modeling helps understand the relationship between influencing factors and occurrence of urban flooding and further provides spatial distribution of flood risk, which is critical for flood-risk reduction. Machine learning methods have been widely applied in flood susceptibility...

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Bibliographic Details
Main Authors: Wenkai Li, Yuanchi Liu, Ziyue Liu, Zhen Gao, Huabing Huang, Weijun Huang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Land
Subjects:
urban flooding
susceptibility
machine learning
positive data
unlabeled data
Online Access:https://www.mdpi.com/2073-445X/11/11/1971

Internet

https://www.mdpi.com/2073-445X/11/11/1971

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