Sentinel-1 data on the kinematics of the 2017 Xinmo landslide and its surrounds are studied to understand the precursory failure dynamics of a large region with a historical predisposition to landslides. We perform a systematic spatiotemporal analysis over a period of two years to identify high-risk regions and discriminate between their precursory failure dynamics. We found the 2017 Xinmo landslide source to exhibit a unique kinematic signature which can be distinguished, almost a year in advance, from those of other sites of instabilities. Findings pave the way for the development of a new framework that exploits these differences in the dynamics of motions to accurately predict the location and size of a catastrophic landslide, and distinguish it from false alarms and/or smaller land slips early in the pre-failure regime.

New insights into the spatiotemporal precursory failure dynamics of the 2017 Xinmo landslide and its surrounds

Di Traglia F.;
2021

Abstract

Sentinel-1 data on the kinematics of the 2017 Xinmo landslide and its surrounds are studied to understand the precursory failure dynamics of a large region with a historical predisposition to landslides. We perform a systematic spatiotemporal analysis over a period of two years to identify high-risk regions and discriminate between their precursory failure dynamics. We found the 2017 Xinmo landslide source to exhibit a unique kinematic signature which can be distinguished, almost a year in advance, from those of other sites of instabilities. Findings pave the way for the development of a new framework that exploits these differences in the dynamics of motions to accurately predict the location and size of a catastrophic landslide, and distinguish it from false alarms and/or smaller land slips early in the pre-failure regime.
978-3-030-60310-6
File in questo prodotto:
File Dimensione Formato  
Tordesillas et al SPRINGER 2021.pdf

Riservato

Dimensione 1.78 MB
Formato Adobe PDF
1.78 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.14083/14070
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact