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First Online: 19 March 2025

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: The review paper provides a comprehensive overview of ongoing studies in the Indian Himalayan region, highlighting its significant contribution to global rainfall-induced landslides. Emphasizing the importance of rainfall-triggered landslide activity, the paper suggests that such landslides can be managed effectively through early warnings and forecasting models. However, it also underscores areas needing significant growth, including studies on climate change, the use of high-resolution data, and the adoption of novel techniques.In the assessment of landslide aspects, the review calls for a directional shift towards automated approaches and the utilization of higher temporal resolution datasets. It stresses the need for localized rainfall threshold studies and the integration of empirical and physical models to improve understanding and facilitate the establishment of operational landslide early warning systems. While landslide monitoring employs various methods, there is a need for a comprehensive, multi-scale approach covering the entire region.Despite advancements in computational technologies, the review suggests the adoption of large data analytics and hybrid models to handle geographical heterogeneity and uncertainty in landslide susceptibility studies. It also addresses the data deficiency in ground-based rainfall data in significant portions of the Himalayan region, suggesting the use of remote sensing data as a potential solution.In conclusion, the review paper provides some bulleted points, highlighting the areas for improvement and offering recommendations to enhance understanding and management of landslide hazards in the region:Valuable insights into the current landscape of landslide research in the Indian Himalayan region. It highlights areas for improvement and offers recommendations to enhance understanding and management of landslide hazards in the region.The authors declare no conflict of interest.