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 Sills^1
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. Watson^1
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. Dyke^1,2, Ilias Bilionis¹, Chul Min Yeum³, and Arindam Gan Chowdhury^4
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 Scott^1,3, Marc Levitan¹, Judith Mitrani-Reiser¹, and Andrew Graettinger^4
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