Submarine Landslide Susceptibility and Spatial Distribution Using Different Unsupervised Machine Learning Models

Submarine Landslide Susceptibility and Spatial Distribution Using Different Unsupervised Machine Learning Models

A submarine landslide is a well-known geohazard that can cause significant damage to offshore engineering facilities. Most standard predicting and mapping methods require expert knowledge, supervision, and fieldwork. In this research, the main objective was to analyze the potential of unsupervised m...

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Bibliographic Details
Main Authors: Xing Du, Yongfu Sun, Yupeng Song, Zongxiang Xiu, Zhiming Su
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
submarine landslide
machine learning
hazard susceptibility
spatial distribution
Online Access:https://www.mdpi.com/2076-3417/12/20/10544

Internet

https://www.mdpi.com/2076-3417/12/20/10544

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