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

Tanya M. Brown, Daan Liang, J. Arn Womble

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


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.

Original languageEnglish
Pages (from-to)369-383
Number of pages15
JournalWind and Structures, An International Journal
Issue number5
StatePublished - Sep 2012


  • Damage
  • Enhanced Fujita Scale
  • Hurricanes
  • Katrina
  • Remote-sensing
  • Satellite
  • Super Tuesday
  • Tornadoes


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