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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Библиографические подробности

Главные авторы:	Wenkai Li, Yuanchi Liu, Ziyue Liu, Zhen Gao, Huabing Huang, Weijun Huang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-11-01
Серии:	Land
Предметы:	urban flooding susceptibility machine learning positive data unlabeled data
Online-ссылка:	https://www.mdpi.com/2073-445X/11/11/1971
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