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This document reviews the advancements, challenges, and future directions in predicting rainfall-induced landslides, highlighting three main methodologies: empirical, physically-based, and machine learning approaches. It discusses the limitations of current methods, such as data availability and accuracy, and emphasizes the need for innovation and collaboration among researchers to improve prediction capabilities. The paper suggests future research areas, including the impact of climate change and the devel

Author

Tran The Viet

Language

EN