Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1007-1015 |
| Number of pages | 9 |
| Journal | Natural Hazards and Earth System Sciences |
| Volume | 14 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 28 2014 |
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All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)
Cite this
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Road assessment after flood events using non-authoritative data. / Schnebele, E.; Cervone, G.; Waters, N.
In: Natural Hazards and Earth System Sciences, Vol. 14, No. 4, 28.04.2014, p. 1007-1015.Research output: Contribution to journal › Article
TY - JOUR
T1 - Road assessment after flood events using non-authoritative data
AU - Schnebele, E.
AU - Cervone, G.
AU - Waters, N.
PY - 2014/4/28
Y1 - 2014/4/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84899520689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899520689&partnerID=8YFLogxK
U2 - 10.5194/nhess-14-1007-2014
DO - 10.5194/nhess-14-1007-2014
M3 - Article
AN - SCOPUS:84899520689
VL - 14
SP - 1007
EP - 1015
JO - Natural Hazards and Earth System Science
JF - Natural Hazards and Earth System Science
SN - 1561-8633
IS - 4
ER -