The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
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

Software

• Civil Engineering

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

GPL-3.0

• 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

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

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"

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

4TU.ResearchData

Python

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

https://github.com/MatthijsGawehn/COCOS

• Stichting ZABAWAS

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