Articles | Volume 17, issue 5
Nat. Hazards Earth Syst. Sci., 17, 735–747, 2017
https://doi.org/10.5194/nhess-17-735-2017
Nat. Hazards Earth Syst. Sci., 17, 735–747, 2017
https://doi.org/10.5194/nhess-17-735-2017

Research article 19 May 2017

Research article | 19 May 2017

Probabilistic flood extent estimates from social media flood observations

Tom Brouwer et al.

Data sets

Twitter Flood Mapping Scripts: First Release T. Brouwer https://doi.org/10.5281/zenodo.165818

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Short summary
The increasing number and severity of floods, driven by e.g. urbanization, subsidence and climate change, create a growing need for accurate and timely flood maps. At the same time social media is a source of much real-time data that is still largely untapped in flood disaster management. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.
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