Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique

Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique

Landslides are the most catastrophic geological hazard in hilly areas. The present work intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern Pakistan, using landslide susceptibility mapping (LSM). To compare and predict the connection between causative factors and l...

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Bibliographic Details
Main Authors: Muhammad Afaq Hussain, Zhanlong Chen, Ying Zheng, Muhammad Shoaib, Safeer Ullah Shah, Nafees Ali, Zeeshan Afzal
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
CPEC
random forest
landslides
susceptibility
PS-InSAR
ArcGIS
Online Access:https://www.mdpi.com/1424-8220/22/9/3119

Internet

https://www.mdpi.com/1424-8220/22/9/3119

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