This document gives an overview of the available data used in the dataset 

A high-resolution 4D geospatial laser scan dataset of the Mariakerke Bad beach, Belgium

Sander Vos(a,d), Lars de Sloover(b), Alain de Wulf(b), Roderik Lindenbergh(c)
a	Delft University of Technology, Faculty of Civil Engineering, Department of Hydraulic Engineering, Stevinweg 1, 2628CN Delft, The Netherlands.
d	Ghent University, Department of Geography, Krijgslaan 281 S8, 9000 Ghent, Belgium.
c	Delft University of Technology, Department of Geoscience and Remote Sensing, Stevinweg 1, 2628 CN Delft, The Netherlands.


This data is provided as is and is licensed under the Creative Commons Attribution 4.0 International (CC-BY-4.0). See the provided PDF on more information about the CC-BY-4.0 
In general this means that the data is free to use but we like to get referenced with:
Vos, S.E., Sloover, L.de., Wulf, A.de. and  Lindenbergh, R.C. (2024) A high-resolution 4D geospatial laser scan dataset of the Mariakerke Bad beach, Belgium, Zenodo data repository, https:/www.doi.org/10.5281/zenodo.10433523, last visited **-**-**.

For more information contact:
s.e.vos@tudelft.nl 

Mariakerkebad_pointclouds
This data set consists of 8417 pointclouds of the Mariakerke Bad beach in Belgium. Files are stored as laz files in local coordinates (Zero-point laserscanner is (0,0,0). Pointclouds have been subsampled to 0.10 meter and all files with a 95th percentile range of less than 100 meters have been omitted (ie are bad weather scans with fog and rain) in order to fit the dataset with the repository limits of 50 gigabytes.

Global transformation matrix
The global transformation matrix contains a 4x4 matrix to transform the local coordinates of the laserscan dataset to the Belgium Lamber 08 projection (EPSG 3812).

Time dependent matrixes
Time dependent transformation matrixes contain a 4x4 matrix to correct each laser scan epoch for small variations. Each scan epoch has one time dependent transformation matrix. See the data descriptor and scripts for more information about the transformations and how to use these in the dataprocessing.

Data_descriptor_dataset_MariakerkeBad_PLS_2017-2018
Data descriptor of the dataset explaining the data set in full detail.

Scripts
Scripts for matlab/octave and python to perform coordinate transformations of local to global coordinates. Use pointcloud_processing_functions.m or pointcloud_processing_functions.py to transform coordinates.