Ctrl K

group-4dobcs

Grouped 4D Objects-By-Change of a Sandy Beach Derived from the Noordwijk Permanent Laser Scanning Dataset

4
contributors

Description

4D Objects-By-Change (4D-OBCs, Anders et al., 2021) derived from the Noordwijk permanent laser scanning (PLS) dataset (Vos et al., 2023). Descriptive features have been derived from the 4D-OBCs and stored in a Pandas DataFrame (df_objects.pkl). This DataFrame is used to organize and cluster similar 4D-OBCs that describe particular types of sandy beach surface dynamics (df_objects_grouped.pkl).

Refer to the README.md file and source code for the details on how to reproduce and process the dataset.

This dataset accompanies the paper (preprint):

Hulskemper, Daan Cornelis, José A. Á. Antolínez, Roderik Lindenbergh, and Katharina Anders. “Coastal Process Understanding through Automated Identification of Recurring Surface Dynamics in Permanent Laser Scanning Data of a Sandy Beach.” Preprint, Cross-cutting themes: Digital Landscapes: Insights into geomorphological processes from high-resolution topography and quantitative interrogation of topographic data, November 6, 2025. https://doi.org/10.5194/egusphere-2025-4964.

Logo of group-4dobcs
Keywords
Programming languages
  • Python 89%
  • Markdown 11%
License
  • CC0-1.0
</>Source code
4TU.
Packages

Reference papers

Contributors

Member of community

4TU