Enhancing landslide disaster prediction by evaluating non landslide area sampling in machine learning models for Spiti Valley India

Enhancing landslide disaster prediction by evaluating non landslide area sampling in machine learning models for Spiti Valley India

Abstract Landslides are well-known natural or quasi-natural hazards which can harm human lives, infrastructure, and the environment, particularly in mountainous regions like Spiti Valley, Himachal Pradesh, India. The Spiti Valley in Himachal Pradesh, India, is prone to landslides due to its fragile...

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Main Authors: Devraj Dhakal, Kanwarpreet Singh, Kennedy C. Onyelowe, Steven Alejandro Salazar Cazco, Abhishek Sharma, Nassir Alarifi, Fakhrul Islam, Randeep, Krishna Prakash Arunachalam, Youssef M. Youssef
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Landslide susceptibility mapping (LSM)
Landslide prediction
Non-Landslide samplings
Machine learning models
Spiti Valley
Geoinformatics
Online Access:https://doi.org/10.1038/s41598-025-95087-7
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https://doi.org/10.1038/s41598-025-95087-7

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