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DOI: 10.4121/17000107

Matthijs Gawehn (2021): Software for self-adaptive and on-the-fly mapping of coastal parameters from video of a wave field. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/17000107.v1

Usage statistics

Categories

• Civil Engineering

Keywords

bathymetry coast cocos depth inversion mapping near-surface currents on-the-fly phase velocity self-adaptive video waves

Licence

GPL-3.0

Collection

• Data and Software used in the MDPI Remote Sensing article "A self-adaptive method for mapping coastal bathymetry on-the-fly from wave field video" by authors Matthijs Gawehn, Sierd de Vries and Stefan Aarninkhof

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by Matthijs Gawehn

Software for self-adaptive and on-the-fly mapping of coastal parameters from video of a wave field. The software concerns code written in Python and has a Matlab-like file structure. The algorithm analyses video in orthorectified format to estimate depths, but also surface currents and wave phase velocities. For a quick user guide see the README.md or https://github.com/MatthijsGawehn/COCOS. The algorithm currently goes under the name of COCOS (COastal COmmunity Scout). The algorithm and its performance are published in MDPI Remote Sensing as: "Gawehn, M.; de Vries, S.;Aarninkhof, S. A self-adaptive method for mapping coastal bathymetry on-the-fly from wave field video"

History

• 2021-11-17 first online, published, posted

Publisher

4TU.ResearchData

Format

Python

References

• https://github.com/MatthijsGawehn/COCOS

Data link

https://github.com/MatthijsGawehn/COCOS

Funding

• Stichting ZABAWAS

Organizations

- TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering
- Deltares, Department of Applied Morphodynamics