floodx: urban flash flood experiments monitored with conventional and alternative sensors
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ID: 225662
2017
The data sets described in this paper provide a basis for developing and
testing new methods for monitoring and modelling urban pluvial flash floods.
Pluvial flash floods are a growing hazard to property and inhabitants'
well-being in urban areas. However, the lack of appropriate data collection
methods is often cited as an impediment for reliable flood modelling,
thereby hindering the improvement of flood risk mapping and early warning
systems. The potential of surveillance infrastructure and social media is
starting to draw attention for this purpose. 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 as well as standard
surveillance cameras. With these data, it is possible to explore the use of
video data and computer vision for urban flood monitoring and modelling. The
floodX project stands out as the largest documented flood experiment of its
kind, providing both conventional measurements and video data in parallel
and at high temporal resolution. The data set used in this paper is available at
https://doi.org/10.5281/zenodo.830513.
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Authors | ;M. Moy de Vitry;M. Moy de Vitry;S. Dicht;J. P. Leitão |
Journal | usak university journal of engineering sciences |
Year | 2017 |
DOI | 10.5194/essd-9-657-2017 |
URL | |
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