Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1913-2026
https://doi.org/10.5194/nhess-26-1913-2026
Research article
 | 
27 Apr 2026
Research article |  | 27 Apr 2026

Early identification of reservoir-bank landslides in deeply incised mountain canyon areas with interferometric baseline optimization

Wenfei Xi, Wenyu Hong, Zhiquan Yang, Guangcai Huang, Junqi Guo, Kunwu Yang, and Tingting Jin

Viewed

Total article views: 1,610 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,353 206 51 1,610 41 50
  • HTML: 1,353
  • PDF: 206
  • XML: 51
  • Total: 1,610
  • BibTeX: 41
  • EndNote: 50
Views and downloads (calculated since 11 Jul 2025)
Cumulative views and downloads (calculated since 11 Jul 2025)

Viewed (geographical distribution)

Total article views: 1,610 (including HTML, PDF, and XML) Thereof 1,546 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Apr 2026
Download
Short summary
This study proposes a vegetation-adaptive coherence threshold method to reduce vegetation-induced decorrelation in small baseline subset interferometric synthetic aperture radar (SBAS‑InSAR) landslide monitoring. By integrating vegetation coverage and the fifth-generation ECMWF atmospheric reanalysis (ERA5)-based atmospheric correction, the method improves deformation accuracy and phase unwrapping. Results show a 29.1 % gain in precision and 22 % more landslide detection.
Share
Altmetrics
Final-revised paper
Preprint