Road assessment after flood events using non-authoritative data

Road assessment after flood events using non-authoritative data

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 me...

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Main Authors: E. Schnebele, G. Cervone, N. Waters
Format: Article
Language:English
Published: Copernicus Publications 2014-04-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/14/1007/2014/nhess-14-1007-2014.pdf
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spelling doaj-1cdef02820f242828180a89be56636e12020-11-24T23:55:12ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812014-04-011441007101510.5194/nhess-14-1007-2014Road assessment after flood events using non-authoritative dataE. Schnebele0G. Cervone1N. Waters2Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USADepartment of Geography and Institute for CyberScience, The Pennsylvania State University, University Park, PA 16802, USACenter for Excellence in GIS, George Mason University, Fairfax, VA 22030, USAThis 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.http://www.nat-hazards-earth-syst-sci.net/14/1007/2014/nhess-14-1007-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author E. Schnebele
G. Cervone
N. Waters
spellingShingle E. Schnebele
G. Cervone
N. Waters
Road assessment after flood events using non-authoritative data
Natural Hazards and Earth System Sciences
author_facet E. Schnebele
G. Cervone
N. Waters
author_sort E. Schnebele
title Road assessment after flood events using non-authoritative data
title_short Road assessment after flood events using non-authoritative data
title_full Road assessment after flood events using non-authoritative data
title_fullStr Road assessment after flood events using non-authoritative data
title_full_unstemmed Road assessment after flood events using non-authoritative data
title_sort road assessment after flood events using non-authoritative data
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2014-04-01
description 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.
url http://www.nat-hazards-earth-syst-sci.net/14/1007/2014/nhess-14-1007-2014.pdf
work_keys_str_mv AT eschnebele roadassessmentafterfloodeventsusingnonauthoritativedata
AT gcervone roadassessmentafterfloodeventsusingnonauthoritativedata
AT nwaters roadassessmentafterfloodeventsusingnonauthoritativedata
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