P5 Presentation by Tom Broersen: “Automatic identification of water courses from AHN3 in flat and engineered landscapes”
Date and time: Wednesday 22 juni, 12:15 – 13:00.
Location: Architecture, TU Delft, Lokaal T
Synopsis: The Netherlands is characterized by mostly low lying, flat, and engineered agricultural lands, which are sensitive to flooding. To protect against floods, a sound network of water courses and knowledge thereof is of the utmost importance. The ‘Hoogheemraadschap De Stichtse Rijnlanden’, which is a water resources management company, wishes to have a highly automated method to identify this water course network. For this thesis, I investigated the possibilities of automatically identifying water courses in flat and engineered landscapes, using the raw points of the AHN3 LiDAR dataset. I designed a new methodology which is based on two concepts; (1) the concept of characteristic shapes, and (2) the Medial Axis Transform. I implemented this methodology, and found that it provides a strong and promising approach for the automatic identification of water courses from the AHN3 dataset.
Mentors: Hugo Ledoux, Ravi Peters, and Jinhu Wang