Road assessment after flood events using non-authoritative data

被引：78

作者：

Schnebele, E. ^{[1
]}

Cervone, G. ^{[2
]}

Waters, N. ^{[3
,4
]}

机构：

[1] George Mason Univ, Dept Geog & Geoinformat Sci, Fairfax, VA 22030 USA

[2] Penn State Univ, Dept Geog, University Pk, PA 16802 USA

[3] Penn State Univ, Inst CyberSci, University Pk, PA 16802 USA

[4] George Mason Univ, Ctr Excellence GIS, Fairfax, VA 22030 USA

来源：

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES | 2014年 / 14卷 / 04期

关键词：

GIS;

D O I：

10.5194/nhess-14-1007-2014

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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.

引用

页码：1007 / 1015

页数：9

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