atmosphere Article Damage Analysis of Three Long-Track Tornadoes Using High-Resolution Satellite Imagery Daniel Burow * , Hannah V. Herrero and Kelsey N. Ellis Department of Geography, University of Tennessee, Knoxville, 1000 Phil Fulmer Way, Knoxville, TN 37920, USA;
[email protected] (H.V.H.);
[email protected] (K.N.E.) * Correspondence:
[email protected] Received: 2 May 2020; Accepted: 8 June 2020; Published: 10 June 2020 Abstract: Remote sensing of tornado damage can provide valuable observations for post-event surveys and reconstructions. The tornadoes of 3 March 2019 in the southeastern United States are an ideal opportunity to relate high-resolution satellite imagery of damage with estimated wind speeds from post-event surveys, as well as with the Rankine vortex tornado wind field model. Of the spectral metrics tested, the strongest correlations with survey-estimated wind speeds are found using a Normalized Difference Vegetation Index (NDVI, used as a proxy for vegetation health) difference image and a principal components analysis emphasizing differences in red and blue band reflectance. NDVI-differenced values across the width of the EF-4 Beauregard-Smiths Station, Alabama, tornado path resemble the pattern of maximum ground-relative wind speeds across the width of the Rankine vortex model. Maximum damage sampled using these techniques occurred within 130 m of the tornado vortex center. The findings presented herein establish the utility of widely accessible Sentinel imagery, which is shown to have sufficient spatial resolution to make inferences about the intensity and dynamics of violent tornadoes occurring in vegetated areas. Keywords: tornadoes; tornado damage; remote sensing; Sentinel-2; NDVI; PCA; Rankine vortex 1.