Improved AHN3 Gridded DTM/DSM

Student Report (2020)
Author(s)

K. Alhoz (TU Delft - Architecture and the Built Environment)

K. Kenesei (TU Delft - Architecture and the Built Environment)

M. Papageorgiou (TU Delft - Architecture and the Built Environment)

E.E.M. Keurentjes (TU Delft - Architecture and the Built Environment)

M. de Jong (TU Delft - Architecture and the Built Environment)

Contributor(s)

H. Ledoux – Mentor (TU Delft - Urban Data Science)

Ravi Peters – Mentor (TU Delft - Urban Data Science)

Faculty
Architecture and the Built Environment
Copyright
© 2020 Khaled Alhoz, Kristof Kenesei, Manos Papageorgiou, Lisa Keurentjes, Maarten de Jong
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Khaled Alhoz, Kristof Kenesei, Manos Papageorgiou, Lisa Keurentjes, Maarten de Jong
Graduation Date
2020-6
Awarding Institution
Delft University of Technology
Project
Synthesis Project 2020
Programme
Geomatics
Related content

GitHub repository of the algorithms used for DTM/DSM generation (with documentation)

https://github.com/tudelft3d/geo1101.2020.ahn3
Faculty
Architecture and the Built Environment
Reuse Rights

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Abstract

The outcome of the project has been successful from the interpolation perspective, where the final results have shown major improvements over the original rasters, and a multitude of possible other interpolation methods have shown potential. In the end, the algorithm used to create the gridded DTM was
based on Startin’s Laplace interpolation and for DSM a Python implementation of quadrant-based IDW was used. The Startin Laplace method gives statistically good results while running quickly on it’s Rust base, though using quite some memory. The quadrant-based IDW has proven to be the best way to interpolate results which include the buildings, creating crisp edges without too many artefacts. Fur-
thermore, the introduction of a polygon water flattening step was essential to prevent no-data values where water bodies prevented for accurate interpolation. The long-shot goal of being able to process all the tiles for the Netherlands was missed by a lot, eventually choosing to interpolate a series of tiles neighboring Delft to create a contiguous result set. Zuid-Holland has therefore only been partially completed, whereas the expectation was to be able to complete this area with ease in three days. An initial overview of the comparison for a single tile in Rotterdam (37HN1), can be seen in Figure 1.3 for the DTM results and Figure 1.4 for the DSM results.

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