Research article
28 Apr 2014
Research article | 28 Apr 2014
Road assessment after flood events using non-authoritative data
E. Schnebele1, G. Cervone2, and N. Waters3
E. Schnebele et al.
E. Schnebele1, G. Cervone2, and N. Waters3
- 1Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USA
- 2Department of Geography and Institute for CyberScience, The Pennsylvania State University, University Park, PA 16802, USA
- 3Center for Excellence in GIS, George Mason University, Fairfax, VA 22030, USA
- 1Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USA
- 2Department of Geography and Institute for CyberScience, The Pennsylvania State University, University Park, PA 16802, USA
- 3Center for Excellence in GIS, George Mason University, Fairfax, VA 22030, USA
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Received: 19 Jul 2013 – Discussion started: 22 Aug 2013 – Revised: 07 Feb 2014 – Accepted: 28 Mar 2014 – Published: 28 Apr 2014
This research proposes a methodology that leverages non-authoritative data to augment flood extent mapping and the evaluation of transportation infrastructure. The novelty of this approach is the application of freely available, non-authoritative data and its integration with established data and methods. Crowdsourced photos and volunteered geographic data are fused together using a geostatistical interpolation to create an estimation of flood damage in New York City following Hurricane Sandy. This damage assessment is utilized to augment an authoritative storm surge map as well as to create a road damage map for the affected region.
