A workflow to identify and monitor slow-moving landslides through spaceborne optical feature tracking

Nava, Lorenzo; Van Wyk de Vries, Maximillian; Bell, Louie Elliot

doi:10.5194/nhess-26-2305-2026

Articles | Volume 26, issue 5

https://doi.org/10.5194/nhess-26-2305-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-26-2305-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 5

Research article

|

19 May 2026

Research article |

| 19 May 2026

A workflow to identify and monitor slow-moving landslides through spaceborne optical feature tracking

Lorenzo Nava, Maximillian Van Wyk de Vries, and Louie Elliot Bell

Supplement

https://doi.org/10.5194/nhess-26-2305-2026-supplement

Data sets

TerraTrack: A Workflow to Identify and Monitor Slow-Moving Landslides through Spaceborne Optical Feature Tracking Lorenzo Nava https://doi.org/10.5281/zenodo.15609754

Model code and software

TerraTrack: A Workflow to Identify and Monitor Slow-Moving Landslides through Spaceborne Optical Feature Tracking Lorenzo Nava https://doi.org/10.5281/zenodo.15609754

Interactive computing environment

TerraTrack Lorenzo Nava https://github.com/lorenzonava96/TerraTrack

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Short summary

We introduce TerraTrack, an open-source tool for detecting and monitoring slow-moving landslides using Sentinel-2 data. It automates image acquisition, landslide identification, and time-series generation in an accessible and cloud-based workflow. TerraTrack supports early warning, complements interferometric synthetic aperture radar (InSAR), and offers a scalable solution for landslide hazard identification and monitoring.