Synthetic Aperture Radar as a Tool for Tornado Classification in Forested Areas

<p>Canada’s tornado climatology has historically been challenging to accurately assess. Many Canadian tornadoes are currently rated on the Enhanced Fujita scale using treefall as a damage indicator, though this approach may occasionally underestimate tornado intensity. In this work, we propose...

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第一著者:	Sophia G. Slabon (22677053) (author)
その他の著者:	Catherine D. Neish (22677056) (author), Connell S. Miller (18783010) (author)
出版事項:	2025
主題:	Ecology Cancer Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified synthetic aperture radar treefall damage indicators tornadoes originally assigned recent canadian tornadoes many canadian tornadoes higher intensity tornadoes accurate tornado ratings damage indicator classifying tornadoes classify tornadoes tornado event tornado climatology tornado classification track consisting study provides results showed least 25 large number forested areas ef3 +) ef2 based currently rated canada ’ accurately assess 1 c
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Synthetic Aperture Radar as a Tool for Tornado Classification in Forested Areas

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