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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Cited articles

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Anders, K., Lindenbergh, R. C., Vos, S. E., Mara, H., de Vries, S., and Höfle, B.: High-frequency 3D geomorphic observation using hourly terrestrial laser scanning data of a sandy beach, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 317–324, https://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019, 2019. a, b
Anders, K., Winiwarter, L., Lindenbergh, R., Williams, J. G., Vos, S. E., and Höfle, B.: 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series, ISPRS J. Photogramm., 159, 352–363, 2020. a, b
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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.