Landslides Prediction Using Machine Learning

Author(s)	Venkateswar Reddy Thatigutla, Vishnu Vardhan Uppalapati, Madhnu Sudhan Vallimiki, Dr. T. Rajkumar, Dr. T. Kumanan
Country	India
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.
Keywords	Landslide prediction, machine learning, remote sensing, landslide susceptibility, disaster management.
Field	Engineering
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-16
Cite This	Landslides Prediction Using Machine Learning - Venkateswar Reddy Thatigutla, Vishnu Vardhan Uppalapati, Madhnu Sudhan Vallimiki, Dr. T. Rajkumar, Dr. T. Kumanan - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2466
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2466
Short DOI	https://doi.org/g88r99

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