Slow-Moving Landslide Hazard Assessment Using LS-Unilab Deep Learning Model with Highlighted InSAR Deformation Signal

Slow-Moving Landslide Hazard Assessment Using LS-Unilab Deep Learning Model with Highlighted InSAR Deformation Signal

Slow-moving landslides are often precursors of catastrophic failure, posing a major threat to human life and property safety. Interferometric synthetic aperture radar (InSAR) has become a crucial tool for investigating slow-moving landslides hazard because of its high-precision detection capability...

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Bibliographic Details
Main Authors: Xiangyang Li, Peifeng Ma, Song Xu, Hong Zhang, Chao Wang, Yukun Fan, Yixian Tang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
slow-moving landslide
hazard assessment
InSAR
LS-Unilab
Online Access:https://www.mdpi.com/2072-4292/16/24/4641
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