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LSDE: Large Scale Data Engineering 2022

Dataset. The Actuele Hoogtekaart Nederland (AHN) is a so-called point-cloud, consisting of 3D points measured using LIDAR technology. LIDAR stands for Light Detection and Ranging - a remote sensing method that uses light in the form of a pulsed laser to measure ranges to the Earth, in the case of AHN taken from an airplane. We got 2.5TB of point cloud data for you to analyze.

C7: The Sinking Netherlands. We would like you to summarize the Dutch terrain into areas of equal height at a relatively coarse-grained granularity, and embedding this in a height map. This should be done for both the ANH2 and ANH3 datasets and you should detect and visualize areas of The Netherlands that are sinking. Special interest is on built-up areas that are sinking; as well as some flooding visualization (which areas are below sea-level, possibly visuialized with a dial where one can see differences at different levels of sealevel rise in the future).

Summary. The project attempts to compare soil height in The Netherlands between two timepoints approx. 6 years apart, as measured by the ANH2 and ANH3 datasets. This turns out to be quite challenging. The project spent quite some effort in creating a 3D visualization. This works and can create nice 3d scenes, however is slow to load and both memory and compute intensive on your browser.

Data Curiosity: ****
Paper Writing: ***
Technical difficulties mastered: **
Visualization coolness: ***


The Sinking Netherlands -- Jeren Olsen, Kailhan Hokstam, Reinier van Elderen (paper)