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

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mieke Kuschnerus on behalf of the Authors (15 Dec 2020)
ED: Publish subject to technical corrections (06 Jan 2021) by Andreas Baas
ED: Publish subject to technical corrections (06 Jan 2021) by Heather Viles (Editor)
AR by Mieke Kuschnerus on behalf of the Authors (12 Jan 2021)  Author's response   Manuscript 
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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.