3dfier: automatic reconstruction of 3D city models

Three-dimensional city models are essential to assess the impact that environmental factors will have on citizens, because they are the input to several simulation and prediction software. Examples of such environmental factors are noise (Stoter et al., 2008), wind (Garcı́a-Sánchez et al., 2014), air pollution (Ujang et al., 2013), and...

Automated reconstruction of 3D input data for noise simulation.

Noise is one of the main problems in urban areas. To monitor and manage noise problems, governmental organisations at all levels are obliged to regularly carry out noise studies. The simulation of noise is an important part of these studies. Currently, different organisations collect their own 3D input data as required in noise simulation in a...

Computational modelling of terrains

The book Computational modelling of terrains presents an overview of algorithms and methodologies to reconstruct, manipulate, and extract information from terrains.<br/><br/>It covers different representations of terrains (eg TINs, rasters, point clouds, contour lines) and presents techniques to handle large datasets.

Generating, storing, updating and disseminating a countrywide 3D model

As in many countries, in The Netherlands governmental organisations are acquiring 3D city models to support their public tasks. However, this is still being done within individual organisation, resulting in differences in 3D city models within one country and sometimes covering the same area: i.e. differences in data structure, height...

Automatic identification of watercourses in flat and engineered landscapes by computing the skeleton of a LiDAR point cloud

Drainage networks play a crucial role in protecting land against floods. It is therefore important to have an accurate map of the watercourses that form the drainage network. Previous work on the automatic identification of watercourses was typically based on grids, focused on natural landscapes, and used mostly the slope and curvature of the...

Population Estimation Using a 3D City Model: A Multi-Scale Country-Wide Study in the Netherlands

The remote estimation of a region’s population has for decades been a key application of geographic information science in demography. Most studies have used 2D data (maps, satellite imagery) to estimate population avoiding field surveys and questionnaires. As the availability of semantic 3D city models is constantly increasing, we investigate...

Robust approximation of the Medial Axis Transform of LiDAR point clouds as a tool for visualisation

Governments and companies around the world collect point clouds (datasets containing elevation points) because these are useful for many applications, e.g. to reconstruct 3D city models, to understand and predict the impact of floods, and to monitor dikes. We address in this paper the visualisation of point clouds, which is perhaps the most...

A Voronoi-Based Approach to Generating Depth-Contours for Hydrographic Charts

We introduce a new approach for the generation and the generalisation of visually smooth depth-contours for hydrographic charts. Unlike most current approaches, it strictly respects the safety constraint that dictates that the resulting chart may not indicate a depth shallower than originally measured. The main idea is to construct a smooth...

Generation and generalization of safe depth-contours for hydrographc charts using a surface-based approach

Depth-contours are an essential part of any hydrographic chart|a map of a water-body intended for safe ship navigation. Traditionally these were manually drawn by skilled hydrographers from a limited set of surveyed depth measurements. Nowadays this process of map making is shifted towards the digital domain, not in the last place because of the...