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http://dx.doi.org/10.12989/was.2012.15.5.369

Predicting ground-based damage states from windstorms using remote-sensing imagery  

Brown, Tanya M. (Insurance Institute for Business and Home Safety)
Liang, Daan (Department of Construction Engineering and Engineering Technology, Texas Tech University)
Womble, J. Arn (Wind Science & Engineering Research Center, Texas Tech University)
Publication Information
Wind and Structures / v.15, no.5, 2012 , pp. 369-383 More about this Journal
Abstract
Researchers have recently begun using high spatial resolution remote-sensing data, which are automatically captured and georeferenced, to assess damage following natural and man-made disasters, in addition to, or instead of employing the older methods of walking house-to-house for surveys, or photographing individual buildings from an airplane. This research establishes quantitative relationships between the damage states observed at ground-level, and those observed from space using high spatial resolution remote-sensing data, for windstorms, for individual site-built one- or two-family residences (FR12). "Degrees of Damage" (DOD) from the Enhanced Fujita (EF) Scale were determined for ground-based damage states; damage states were also assigned for remote-sensing imagery, using a modified version of Womble's Remote-Sensing (RS) Damage Scale. The preliminary developed model can be used to predict the ground-level damage state using remote-sensing imagery, which could significantly lessen the time and expense required to assess the damage following a windstorm.
Keywords
damage; remote-sensing; Enhanced Fujita Scale; tornadoes; hurricanes; Katrina; satellite; Super Tuesday;
Citations & Related Records
연도 인용수 순위
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