Volume IV-2/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 317-324, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W5, 317-324, 2019
https://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  29 May 2019

29 May 2019

HIGH-FREQUENCY 3D GEOMORPHIC OBSERVATION USING HOURLY TERRESTRIAL LASER SCANNING DATA OF A SANDY BEACH

K. Anders1,2, R. C. Lindenbergh3, S. E. Vos4, H. Mara2, S. de Vries4, and B. Höfle1,2,5 K. Anders et al.
  • 13D Geospatial Data Processing Research Group (3DGeo), Institute of Geography, Heidelberg University, Germany
  • 2Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany
  • 3Department of Geoscience & Remote Sensing, Delft University of Technology, The Netherlands
  • 4Department of Hydraulic Engineering, Delft University of Technology, The Netherlands
  • 5Heidelberg Center for the Environment, Heidelberg University, Germany

Keywords: 4D geospatial data, change analysis, 3D time series, multitemporal point clouds, LiDAR, beach monitoring

Abstract. Geomorphic processes occur spatially variable and at varying magnitudes, frequencies and velocities, which poses a great challenge to current methods of topographic change analysis. For the quantification of surface change, permanent terrestrial laser scanning (TLS) can generate time series of 3D point clouds at high temporal and spatial resolution. We investigate how the temporal interval influences volume change observed on a sandy beach regarding the temporal detail of the change process and the total volume budget, on which accretion and erosion counteract. We use an hourly time series of TLS point clouds acquired over six weeks in Kijkduin, the Netherlands. A raster-based approach of elevation differencing provides the volume change over time per square meter. We compare the hourly analysis to results of a three- and six-week observation period. For the larger period, a volume increase of 0.3 m3/ m2 is missed on a forming sand bar before it disappears, which corresponds to half its volume. Generally, a strong relationship is shown between observation interval and observed volume change. An increase from weekly to daily observations leads to a five times larger volume change quantified in total. Another important finding is a temporally variable measurement uncertainty in the 3D time series, which follows the daily course of air temperature. Further experiments are required to fully understand the effect of atmospheric conditions on high-frequency TLS acquisition in beach environments. Continued research of 4D geospatial analysis methods will enable automatic identification of dynamic change and improve the understanding of geomorphic processes.