Technical Session # 3

Measurement & Observation; Community Impact & Planning

3.1 Finding every tornado in Canada – The Northern Tornadoes Project in 2019
David Sills*1
1Faculty of Engineering, University of Western Ontario, London, ON, Canada.

3.2 Implementing advanced drone techniques on damage surveys
Connell Miller*1, Gregory Kopp1, and David Sills1
1Northern Tornadoes Project, Western University, London, Ontario, Canada.

3.3 Semantic segmentation of aerial SFM point clouds for post windstorm damage assessment
Mohammad Ebrahim Mohammadi1, Richard L. Wood*1, and Daniel P. Watson1
1University of Nebraska-Lincoln, Lincoln, NE 68588-0531, USA.

3.4 Discrete and distributed error assessment of aerial point clouds for post tornado three-dimensional scene reconstruction
Yijun Liao1 and Richard L. Wood*1
1University of Nebraska-Lincoln, Lincoln, NE 68588, USA.

3.5 Accelerating post-event data collection and analysis using artificial intelligence
Ali Lenjani*1, Shirley J. Dyke1,2, Ilias Bilionis1, Chul Min Yeum3, and Arindam Gan Chowdhury4
1School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA; 2Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA; 3Department of Civil and Environmental Engineering, University of Waterloo, ON, N2L 3G1, Canada; 4Department of Civil and Environmental Engineering, Florida International University, Miami, FL, USA.

3.6 Automated approach to mine remote sensing data to support building-level classification of tornado damage and pre-event building characteristics
P. Shane Crawford*1, Alexander Hainen2, Pataya Scott1,3, Marc Levitan1, Judith Mitrani-Reiser1, and Andrew Graettinger4
1National Institute of Standards and Technology, Gaithersburg, MD 20899, USA; 2University of Alabama, Tuscaloosa, AL 35487, USA; 3Texas Tech University, Lubbock, TX 79409, USA; 4University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.

* Presenting author