floodX: urban flash flood experiments monitored with conventional and alternative sensors

Moy de Vitry, Matthew; Dicht, Simon; Leitão, João P.

doi:https://doi.org/10.5194/essd-9-657-2017

Articles | Volume 9, issue 2

https://doi.org/10.5194/essd-9-657-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/essd-9-657-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 2

Review article

|

04 Sep 2017

Review article |

| 04 Sep 2017

floodX: urban flash flood experiments monitored with conventional and alternative sensors

Matthew Moy de Vitry, Simon Dicht, and João P. Leitão

Supplement

https://doi.org/10.5194/essd-9-657-2017-supplement

Data sets

floodX Raw Data, Metadata, and Preprocessing Code M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830505

floodX Preprocessed Monitoring Data M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830511

floodX Preprocessed Calibration Data M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830513

floodX Flooding Videos M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830451

floodX Flooding Images M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830501

floodX Data Logger Images M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830507

floodX Data Logger Videos M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830504

floodX Documentation M. Moy de Vitry, S. Dicht, and J. P. Leitão https://doi.org/10.5281/zenodo.830506

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Short summary

Pluvial flash floods are a growing hazard in urban areas but the lack of appropriate data collection methods hinders the improvement of flood risk mapping and early warning systems. In the floodX project, 22 controlled urban flash floods were generated in a flood response training facility and monitored with state-of-the-art sensors complemented with standard surveillance cameras. The data can be used to explore vision-based monitoring concepts and flood model calibration strategies.