Articles | Volume 8, issue 2
https://doi.org/10.5194/esurf-8-245-2020
https://doi.org/10.5194/esurf-8-245-2020
Research article
 | Highlight paper
 | 
20 Apr 2020
Research article | Highlight paper |  | 20 Apr 2020

Drainage divide networks – Part 1: Identification and ordering in digital elevation models

Dirk Scherler and Wolfgang Schwanghart

Viewed

Total article views: 6,915 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,120 1,692 103 6,915 132 115
  • HTML: 5,120
  • PDF: 1,692
  • XML: 103
  • Total: 6,915
  • BibTeX: 132
  • EndNote: 115
Views and downloads (calculated since 02 Oct 2019)
Cumulative views and downloads (calculated since 02 Oct 2019)

Viewed (geographical distribution)

Total article views: 6,915 (including HTML, PDF, and XML) Thereof 5,900 with geography defined and 1,015 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Short summary
Drainage divides are believed to provide clues about divide migration and the instability of landscapes. Here, we present a novel approach to extract drainage divides from digital elevation models and to order them in a drainage divide network. We present our approach by studying natural and artificial landscapes generated with a landscape evolution model and disturbed to induce divide migration.