Spatiotemporal landslide susceptibility mapping using machine learning models: A case study from district Hattian Bala, NW Himalaya, Pakistan

The Himalayan region, a rugged mountain zone is among the most susceptible zones to the landslide hazard due to its terrain, geography, and active tectonics. Machine learning (ML) techniques are most advanced and precise methods to develop landslide susceptibility model (LSM). The current study was...

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Bibliografische Detailangaben

Hauptverfasser:	Ahmad Hammad Khaliq, Muhammad Basharat, Malik Talha Riaz, Muhammad Tayyib Riaz, Saad Wani, Nadhir Al-Ansari, Long Ba Le, Nguyen Thi Thuy Linh
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2023-04-01
Schriftenreihe:	Ain Shams Engineering Journal
Schlagworte:	Hattian Bala Landslide susceptibility Logistic regression Machine learning Random forest
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2090447922002180
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