Wind and Structures

  • 제15권5호
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  • Pages.369-383
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  • 2012
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

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)
  • 투고 : 2011.01.10
  • 심사 : 2011.10.12
  • 발행 : 2012.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

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.

키워드

참고문헌

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피인용 문헌

  1. Enhanced remote-sensing scale for wind damage assessment vol.19, pp.3, 2014, https://doi.org/10.12989/was.2014.19.3.321
  2. Reconstruction of a near-surface tornado wind field from observed building damage vol.20, pp.3, 2015, https://doi.org/10.12989/was.2015.20.3.389
  3. Engineering Analysis of a Full-Scale High-Resolution Tornado Wind Speed Record vol.144, pp.2, 2018, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001942
  4. Leveraging Remote-Sensing Data to Assess Garage Door Damage and Associated Roof Damage vol.4, pp.None, 2018, https://doi.org/10.3389/fbuil.2018.00061
  5. Multi-Scale Remote Sensing of Tornado Effects vol.4, pp.None, 2018, https://doi.org/10.3389/fbuil.2018.00066
  6. Incorporation and Use of Earth Remote Sensing Imagery within the NOAA/NWS Damage Assessment Toolkit vol.101, pp.3, 2020, https://doi.org/10.1175/bams-d-19-0097.1