Articles | Volume 21, issue 10
https://doi.org/10.5194/nhess-21-2993-2021
https://doi.org/10.5194/nhess-21-2993-2021
Research article
 | 
07 Oct 2021
Research article |  | 07 Oct 2021

Integrating empirical models and satellite radar can improve landslide detection for emergency response

Katy Burrows, David Milledge, Richard J. Walters, and Dino Bellugi

Viewed

Total article views: 2,202 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,447 698 57 2,202 92 47 52
  • HTML: 1,447
  • PDF: 698
  • XML: 57
  • Total: 2,202
  • Supplement: 92
  • BibTeX: 47
  • EndNote: 52
Views and downloads (calculated since 19 May 2021)
Cumulative views and downloads (calculated since 19 May 2021)

Viewed (geographical distribution)

Total article views: 2,202 (including HTML, PDF, and XML) Thereof 2,051 with geography defined and 151 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
When cloud cover obscures optical satellite imagery, there are two options remaining for generating information on earthquake-triggered landslide locations: (1) models which predict landslide locations based on, e.g., slope and ground shaking data and (2) satellite radar data, which penetrates cloud cover and is sensitive to landslides. Here we show that the two approaches can be combined to give a more consistent and more accurate model of landslide locations after an earthquake.
Altmetrics
Final-revised paper
Preprint