Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2305-2026
https://doi.org/10.5194/nhess-26-2305-2026
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

Viewed

Total article views: 12,449 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
7,724 4,268 457 12,449 1,608 330 312
  • HTML: 7,724
  • PDF: 4,268
  • XML: 457
  • Total: 12,449
  • Supplement: 1,608
  • BibTeX: 330
  • EndNote: 312
Views and downloads (calculated since 27 Jun 2025)
Cumulative views and downloads (calculated since 27 Jun 2025)

Viewed (geographical distribution)

Total article views: 12,449 (including HTML, PDF, and XML) Thereof 12,324 with geography defined and 125 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 23 Oct 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint