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This repository contains sample codes for the automatic detection of landslide movement types based on topological information, using a landslide's 3D shape.

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kushanavbhuyan/Uncovering-landslide-failure-types

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Uncovering landslide failure types

This repository contains sample codes related to landslide failure movement identification using a topology-aided ML model. The published work can be found here: https://www.nature.com/articles/s41467-024-46741-7

Please cite our work in case you decide to use our codes: Bhuyan, K., Rana, K., Ferrer, J.V. et al. Landslide topology uncovers failure movements. Nat Commun 15, 2633 (2024). https://doi.org/10.1038/s41467-024-46741-7

Schematic outlook of failure movements

Conceptial Diagram

"Sample Feature Engineered Data" contains some sample arrays that were generated using TDA. The data can be used to train any ML/DL model. In our study, we utilized the Random Forest model but in theory, any ML or DL model can be used.

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This repository contains sample codes for the automatic detection of landslide movement types based on topological information, using a landslide's 3D shape.

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