NRC released a news item discussing our NWO CoastScan project, on the occasion of the newly published paper by Mieke Kuschnerus and others:
New PhD candidate on the AdaptCoast project
From the start of this year onward I, Daan Hulskemper, will be working on the AdaptCoast project as a PhD candidate at Delft University of Technology. My background lies in earth surface processes, and optical and laser remote sensing. After getting my Bachelor’s degree in Earth Sciences at Utrecht University, I did my Master’s at Delft University of Technology, in Geoscience and Remote Sensing. Here I graduated on the detection and classification of surface change dynamics in the point cloud time series acquired at Kijkduin (link). I look forward to further dive into this topic as part of my PhD journey.
My first duty as a PhD candidate will be to further explore methods for automated extraction and characterization of surface change dynamics from point cloud time series, acquired with the permanent laser scanner setups at the various CoastScan locations. Thus, expanding the knowledge and applicability of the data acquired as part of CoastScan. We will also enrich these datasets with LiDAR data acquired with a drone, and possibly other sources. Additionally, I will look into the prediction of topography changes under variations in human and natural forcing; exploring the causalities between the forcings and consequent short-term surface dynamics on the beach.
TU Delft news item: Unique permanent coastal observation detects minimal changes
TU Delft news released a news item discussing our NWO CoastScan and AdaptCoast projects:
https://www.tudelft.nl/en/2024/citg/unique-permanent-coastal-observation-detects-minimal-changes
New publication available
Our article in the ISPRS Open Journal of Photogrammetry and Remote Sensing with the title ‘Statistically assessing vertical change on a sandy beach from permanent laser scanning time series’ (by M. Kuschnerus, R. Lindenbergh, S. Vos, R. Hanssen) is now available: https://www.sciencedirect.com/science/article/pii/S2667393223000261?via%3Dihub
New publication of data set from Noordwijk:
Combined datasets for the article “Asynchronous dune development on a Dutch urbanized beach due to buildings and other anthropogenic influences”
doi:10.4121/05477395-f4fe-46dc-bed9-89da04c073cd.v1
S. Vos, C. van IJzendoorn, R. Lindenbergh and A. de Wulf published a part of the CoastScan data set as processed for the research article: “Asynchronous dune development on a Dutch urbanized beach due to buildings and other anthropogenic influences” via 4TU.ResearchData
New visualisation of Kijkduin data set online
A new visualisation of the point cloud data set from Kijkduin can be found online: Link. It was generated and published by ScanLabs Projects using our publicly available data set.
Noordwijk Data Set Published
The entire PLS data set acquired in Noordwijk between 11 July 2019 and 21 June 2022 is now published via 4TU.ResearchData. The data set contains all point clouds from the hourly scans available over the three-year period. Each point cloud contains a ~1km long part of the coast (dunes and beach) in front of Grand Hotel Huis ter Duin in Noordwijk.
https://data.4tu.nl/datasets/1aac46fb-7900-4d4c-a099-d2ce354811d2/2
CoastScan in TU Delft CITG news
A new post about CoastScan and the follow-up project AdaptCoast appeared in the news of the Faculty of Civil Engineering and Geoscience of Delft University of Technology.
Published Article on Bulldozer Detection
The article by I. Barbero-García was published in the International Journal of Applied Earth Observation and Geoinformation. It deals with the automatic detection of bulldozer works on the CoastScan study site in Noordwijk. The bulldozers are detected in images from video cameras and sightings are compared with changes detected in the 3D point clouds from permanent laser scanning.
Presentation at O3DM workshop in Würzburg
D. Hulskemper presented his work at the ISPRS workshop O3DM on 15 and 16 December 2022 in Würzburg, Germany. For his Master thesis he is working on grouping and analyzing 4D objects by change derived from the data set collected for CoastScan in Kijkduin, using unsupervised machine learning. His results allow to interpret and compare weather conditions with different types of surface activities on the sandy beach in Kijkduin. The full contribution can be read here: Link.