Characterization of Geomorphological Surface Activities Using Near-Continuous Terrestrial LiDAR Time Series: The classification of 4D objects-by-change

The Earth's landscapes are shaped by processes eroding, transporting, and depositing material over various timespans and spatial scales. To understand these surface activities and mitigate potential hazards they inflict, knowledge is needed of their occurrences and properties. Near-continuous terrestrial laser scanning (TLS) enables the...

Classification of coastal profile development in the Hoogheemraadschap Hollands Noorderkwartier area: Using advanced data analysis techniques

This thesis describes the development and the characteristics of the coastline along the Dutch coastal zone, managed by Hoogheemraadschap Hollands Noorderkwartier. The coastal zone is a rich environment with multiple stakeholders. These stakeholders use the coastal zone for a range of functions such as safety, nature, business, and recreation....

A Machine learning approach for rapid disaster response based on multi- modal data: The case of housing & shelter needs

Along with climate change, more frequent extreme events, such as flooding and tropical cyclones, threaten the livelihoods and wellbeing of poor and vulnerable populations. One of the most immediate needs of people affected by a disaster is finding shelter. While the proliferation of data on disasters is already helping to save lives, identifying...

Visual Analytics for Generative Design Exploration: An interactive 3D data envirionment for a computational design system facilitating the performance-driven design process of a nearly Zero-Energy sports hall

Improvement of design performances requires exploration of a larger amount of analyzed design solutions in the early design phase. Computational design systems use parametric modeling, building performance simulations and genetic algorithms to iterate through a large amount of design alternatives, converging towards optimal design solutions....