Earth Surface Dynamics
Earth Surface Dynamics
ESurf
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/esurf-11-593-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-11-593-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 4
Research article
 | 
18 Jul 2023
Research article |  | 18 Jul 2023

Full four-dimensional change analysis of topographic point cloud time series using Kalman filtering

Lukas Winiwarter, Katharina Anders, Daniel Czerwonka-Schröder, and Bernhard Höfle

Viewed

Total article views: 3,060 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,275 722 63 3,060 54 51
  • HTML: 2,275
  • PDF: 722
  • XML: 63
  • Total: 3,060
  • BibTeX: 54
  • EndNote: 51
Views and downloads (calculated since 11 Jan 2022)
Cumulative views and downloads (calculated since 11 Jan 2022)

Viewed (geographical distribution)

Total article views: 3,060 (including HTML, PDF, and XML) Thereof 2,946 with geography defined and 114 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Dec 2024
Download
Short summary
We present a method to extract surface change information from 4D time series of topographic point clouds recorded with a terrestrial laser scanner. The method uses sensor information to spatially and temporally smooth the data, reducing uncertainties. The Kalman filter used for the temporal smoothing also allows us to interpolate over data gaps or extrapolate into the future. Clustering areas where change histories are similar allows us to identify processes that may have the same causes.
Read more