Articles | Volume 15, issue 12
https://doi.org/10.5194/nhess-15-2725-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-15-2725-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Social media as an information source for rapid flood inundation mapping
J. Fohringer
Center for Disaster Management and Risk Reduction Technology (CEDIM), Potsdam and Karlsruhe, Germany
Section Geoinformatics, German Research Centre for Geosciences (GFZ), Potsdam, Germany
D. Dransch
Center for Disaster Management and Risk Reduction Technology (CEDIM), Potsdam and Karlsruhe, Germany
Section Geoinformatics, German Research Centre for Geosciences (GFZ), Potsdam, Germany
Humboldt University Berlin, Geography Department, Berlin, Germany
H. Kreibich
Center for Disaster Management and Risk Reduction Technology (CEDIM), Potsdam and Karlsruhe, Germany
Section Hydrology, German Research Centre for Geosciences (GFZ), Potsdam, Germany
K. Schröter
Center for Disaster Management and Risk Reduction Technology (CEDIM), Potsdam and Karlsruhe, Germany
Section Hydrology, German Research Centre for Geosciences (GFZ), Potsdam, Germany
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Short summary
During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The case study of the June 2013 flood in the city of Dresden shows that social media may help to bridge the information gap when traditional data sources are lacking or are sparse.
During and shortly after a disaster, data about the hazard and its consequences are scarce and...
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