Articles | Volume 9, issue 1
https://doi.org/10.5194/esurf-9-89-2021
https://doi.org/10.5194/esurf-9-89-2021
Research article
 | 
19 Feb 2021
Research article |  | 19 Feb 2021

Coastal change patterns from time series clustering of permanent laser scan data

Mieke Kuschnerus, Roderik Lindenbergh, and Sander Vos

Viewed

Total article views: 3,039 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,097 830 112 3,039 125 118
  • HTML: 2,097
  • PDF: 830
  • XML: 112
  • Total: 3,039
  • BibTeX: 125
  • EndNote: 118
Views and downloads (calculated since 19 May 2020)
Cumulative views and downloads (calculated since 19 May 2020)

Viewed (geographical distribution)

Total article views: 3,039 (including HTML, PDF, and XML) Thereof 2,761 with geography defined and 278 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Sandy coasts are areas that undergo a lot of changes, which are caused by different influences, such as tides, wind or human activity. Permanent laser scanning is used to generate a three-dimensional representation of a part of the coast continuously over an extended period. By comparing three unsupervised learning algorithms, we develop a methodology to analyse the resulting data set and derive which processes are dominating changes in the beach and dunes.