Landslides Prediction Using Machine Learning
Year: 2025
Type: article
Abstract: Landslides are one of the most devastating natural disasters, causing loss of life, infrastructure damage, and economic setbacks. Traditional methods for predicting landslides rely on geological surveys and empirical models, which can be time-consuming and less adaptable to real-time data. With advancements in artificial intelligence, machine learning (ML) has emerged as a powerful tool for landslide prediction, offering improved accuracy and efficiency.
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408584005
