Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 2
Articles | Volume 26, issue 2
https://doi.org/10.5194/nhess-26-863-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-863-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 2
Research article
 | 
23 Feb 2026
Research article |  | 23 Feb 2026

Beyond and beneath displacement time series: towards InSAR-based early warnings and deformation analysis of the Achoma landslide, Peru

Benedetta Dini, Pascal Lacroix, and Marie-Pierre Doin

Viewed

Total article views: 4,467 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,409 862 196 4,467 347 121 152
  • HTML: 3,409
  • PDF: 862
  • XML: 196
  • Total: 4,467
  • Supplement: 347
  • BibTeX: 121
  • EndNote: 152
Views and downloads (calculated since 19 Jun 2025)
Cumulative views and downloads (calculated since 19 Jun 2025)

Viewed (geographical distribution)

Total article views: 4,467 (including HTML, PDF, and XML) Thereof 4,386 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 12 Sep 2026
Download
Short summary
Landslides can occur without warning. Traditional satellite radar (InSAR) methods are valuable but have limitations. We show that lesser-used radar signals can act as early warning markers, revealing instability up to five years before failure in a Peruvian landslide, even when standard methods fail or underestimate displacement. These alternative radar approaches complement existing techniques and could transform early detection and targeted monitoring across large regions.
Read more
Share
Altmetrics
Final-revised paper
Preprint