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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1055–1061, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1055-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1055–1061, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1055-2022
 
30 May 2022
30 May 2022

DETECTING ANTHROPOGENIC VOLUME CHANGES IN CROSS SECTIONS OF A SANDY BEACH WITH PERMANENT LASER SCANNING

M. Kuschnerus1, R. Lindenbergh1, Q. Lodder2, E. Brand2, and S. Vos3 M. Kuschnerus et al.
  • 1Department of Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628CN Delft, The Netherlands
  • 2Rijkswaterstaat, Ministry of Infrastructure and Water Management, Griffioenlaan 2, 3526LA Utrecht, The Netherlands
  • 3Coastal Engineering Department, Delft University of Technology, Stevinweg 1, 2628CN Delft, The Netherlands

Keywords: Permanent Laser Scanning, Change Detection, Time Series, Volume Change, Coastal Remote Sensing

Abstract. Coastal areas world wide are highly dynamic areas, subject to continuous deformation processes. Both natural and anthropogenic processes constantly cause changes at various spatial scales. Sandy beaches in the Netherlands fall under a regulation, according to which moving sand is permitted, if the volume change remains below a certain threshold. The threshold holds for volume changes within a cross section of 1 m width of the beach. The enforcement of this rule is currently labor intensive, because monitoring generally happens only on a yearly basis, or incidental and non-quantitative. Improved observation capabilities with remote sensing are advancing the supporting technology for this kind of regulations. Permanent laser scanning is a potential tool for monitoring and quantifying volume changes of a section of the beach. We develop and implement methodology to extract time series of volume change with respect to a reference date of 01-01-2020 covering January 2020 until the end of April 2020. The method is applied on point cloud data from a permanent laser scanner on the coast of Noordwijk, The Netherlands. We analyse the time series for incidents, where the threshold in volume change is passed, and find all shortest intervals during which the threshold is passed. Then we analyse potential underlying cause in order to support not only enforcement, but also evaluation of the current regulation. This will ultimately help to work towards a better understanding of the influence of small scale human activities on coastal development.