Mapping landslide-depleted source areas is pivotal for refining predictive models and volume estimations, yet these critical regions are often conflated with landslide runouts, leading to sub-optimal assessments. The source (or scarp) areas are typically the regions where the actual failure occurs, providing crucial information on the initiation mechanisms and the nature of landslide propagation. Catering to this objective, we built a method based on a landslide's topology and morphological information to delineate the source and runout margins. We develop and test this method in geomorphologically distinct regions such as Dominica, Turkey, Italy, Nepal, and Japan (Niigata) to showcase the model's robust adaptive capacity. The model can demarcate the source and runout zones from landslide planforms found in inventories with accuracy deviations under 15%–20%. While distinguishing landslide source and runout areas, the model also considers triggering information and movement types. We al...

Towards automatic delineation of landslide source and runout

Bhuyan K.
;
Nava L.;Rosi A.;Meena S. R.;Floris M.;Catani F.
2025

Abstract

Mapping landslide-depleted source areas is pivotal for refining predictive models and volume estimations, yet these critical regions are often conflated with landslide runouts, leading to sub-optimal assessments. The source (or scarp) areas are typically the regions where the actual failure occurs, providing crucial information on the initiation mechanisms and the nature of landslide propagation. Catering to this objective, we built a method based on a landslide's topology and morphological information to delineate the source and runout margins. We develop and test this method in geomorphologically distinct regions such as Dominica, Turkey, Italy, Nepal, and Japan (Niigata) to showcase the model's robust adaptive capacity. The model can demarcate the source and runout zones from landslide planforms found in inventories with accuracy deviations under 15%–20%. While distinguishing landslide source and runout areas, the model also considers triggering information and movement types. We al...
2025
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0013795224004666-main.pdf

accesso aperto

Tipologia: Published (Publisher's Version of Record)
Licenza: Creative commons
Dimensione 8.11 MB
Formato Adobe PDF
8.11 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

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: https://hdl.handle.net/11577/3543497
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
  • OpenAlex 1
social impact