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Wind and Structures Volume 15, Number 5, September 2012 , pages 369-383 DOI: https://doi.org/10.12989/was.2012.15.5.369 |
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Predicting ground-based damage states from windstorms using remote-sensing imagery |
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Tanya M. Brown, Daan Liang and J. Arn Womble
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| 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 groundbased 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. | ||
| Key Words | ||
| damage; remote-sensing; Enhanced Fujita Scale; tornadoes; hurricanes; Katrina; satellite; Super Tuesday | ||
| Address | ||
| Tanya M. Brown : Insurance Institute for Business and Home Safety, Richburg, South Carolina, United States, Wind Science & Engineering Research Center, Texas Tech University, Lubbock, Texas, United States Daan Liang: Department of Construction Engineering and Engineering Technology, Texas Tech University, Lubbock, Texas, United States J. Arn Womble : Wind Science & Engineering Research Center, Texas Tech University, Lubbock, Texas, United States, WindForce Associates, Inc., Lubbock, Texas, United States | ||