Landslides Prediction Using Machine Learning

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.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-16
DOI
https://doi.org/10.71097/ijsat.v16.i1.2466
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
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article

Landslides Prediction Using Machine Learning

T. Rajkumar, T. Kumanan, Venkateswar Reddy Thatigutla -, Vishnu Vardhan Uppalapati - et al.
International Journal on Science and Technology
Landslides and related hazards
article

Landslides Prediction Using Machine Learning

T. Rajkumar, T. Kumanan, Venkateswar Reddy Thatigutla -, Vishnu Vardhan Uppalapati -, Madhnu Sudhan Vallimiki -
article en

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.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 93%
Landslides and related hazards
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Landslides Prediction Using Machine Learning — T. Rajkumar, T. Kumanan, et al. · International Journal on Science and Technology (2025) | TGRS Research Map | TGRS