Landslide Hazard Assessment Under Record-Breaking Extreme Rainfall: Integration of SBAS-InSAR and Machine Learning Models

Landslide Hazard Assessment Under Record-Breaking Extreme Rainfall: Integration of SBAS-InSAR and Machine Learning Models

Global climate change has led to a marked increase in the frequency of record-breaking extreme rainfall events, which often surpass historical benchmarks and pose significant challenges to conventional geological hazard risk assessment methods. This study used a record-breaking extreme rainfall even...

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Bibliographic Details
Main Authors: Wenbo Zheng, Wen Fan, Yanbo Cao, Yalin Nan, Pengxu Jing
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
extreme rainfall
landslides
SBAS-InSAR
machine learning
hazard assessment
Online Access:https://www.mdpi.com/2072-4292/17/13/2265
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