Articles | Volume 9, issue 5
Earth Surf. Dynam., 9, 1347–1361, 2021
https://doi.org/10.5194/esurf-9-1347-2021
Earth Surf. Dynam., 9, 1347–1361, 2021
https://doi.org/10.5194/esurf-9-1347-2021
Research article
11 Oct 2021
Research article | 11 Oct 2021

A hybrid data–model approach to map soil thickness in mountain hillslopes

Qina Yan et al.

Viewed

Total article views: 1,791 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,277 489 25 1,791 110 16 21
  • HTML: 1,277
  • PDF: 489
  • XML: 25
  • Total: 1,791
  • Supplement: 110
  • BibTeX: 16
  • EndNote: 21
Views and downloads (calculated since 18 Jan 2021)
Cumulative views and downloads (calculated since 18 Jan 2021)

Viewed (geographical distribution)

Total article views: 1,607 (including HTML, PDF, and XML) Thereof 1,605 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2022
Download
Short summary
We develop a hybrid model to estimate the spatial distribution of the thickness of the soil layer, which also provides estimations of soil transport and soil production rates. We apply this model to two examples of hillslopes in the East River watershed in Colorado and validate the model. The results show that the north-facing (NF) hillslope has a deeper soil layer than the south-facing (SF) hillslope and that the hybrid model provides better accuracy than a machine-learning model.