TY - GEN
T1 - Multi-platform tornado damage scene preservation
AU - Womble, J. Arn
AU - Wood, Richard L.
AU - Louden, Elizabeth I.
AU - Mohammadi, Mohammad Ebrahim
AU - Smith, Douglas A.
AU - Leitch, Kenneth R.
PY - 2016
Y1 - 2016
N2 - A severe tornado system produced damage to engineered metal buildings at an industrial facility outside Pampa, TX and toppled several nearby center-pivot irrigation structures. Rapid remote-sensing preservation of this overall damage scene was of particular necessity: access to the industrial facility was prohibited, and the overall size of the center-pivot irrigation system disallowed rapid direct measurement of member displacements. Engineers and architects from West Texas A&M University, University of Nebraska-Lincoln, and Texas Tech University collaborated to acquire and preserve the damage scene for future study, using a suite of existing and emerging platforms: including 3D point clouds derived from aerial FoDAR, aerial drone imaging, terrestrial laser scanning, and terrestrial digital photogrammetry as well as two-dimensional, four-band satellite imaging. Data collection using these various platforms offers guidance for the future remote-sensing preservation of damage scenes, the validation of estimated wind speeds currently employed in the Enhanced Fujita Scale of tornado intensity, and the further development of techniques for automated remote-sensing-based wind damage assessments.
AB - A severe tornado system produced damage to engineered metal buildings at an industrial facility outside Pampa, TX and toppled several nearby center-pivot irrigation structures. Rapid remote-sensing preservation of this overall damage scene was of particular necessity: access to the industrial facility was prohibited, and the overall size of the center-pivot irrigation system disallowed rapid direct measurement of member displacements. Engineers and architects from West Texas A&M University, University of Nebraska-Lincoln, and Texas Tech University collaborated to acquire and preserve the damage scene for future study, using a suite of existing and emerging platforms: including 3D point clouds derived from aerial FoDAR, aerial drone imaging, terrestrial laser scanning, and terrestrial digital photogrammetry as well as two-dimensional, four-band satellite imaging. Data collection using these various platforms offers guidance for the future remote-sensing preservation of damage scenes, the validation of estimated wind speeds currently employed in the Enhanced Fujita Scale of tornado intensity, and the further development of techniques for automated remote-sensing-based wind damage assessments.
UR - http://www.scopus.com/inward/record.url?scp=85030664088&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85030664088
T3 - Proceedings, Annual Conference - Canadian Society for Civil Engineering
SP - 1695
EP - 1696
BT - Canadian Society for Civil Engineering Annual Conference 2016
PB - Canadian Society for Civil Engineering
T2 - Canadian Society for Civil Engineering Annual Conference 2016: Resilient Infrastructure
Y2 - 1 June 2016 through 4 June 2016
ER -