Data-Driven Approaches for Tornado Damage Estimation with Unpiloted Aerial Systems

Data-Driven Approaches for Tornado Damage Estimation with Unpiloted Aerial Systems

Tornado damage estimation is important for providing insights into tornado studies and assisting rapid disaster response. However, it is challenging to precisely estimate tornado damage because of the large volumes of perishable data. This study presents data-driven approaches to tornado damage esti...

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Bibliographic Details
Main Authors: Zhiang Chen, Melissa Wagner, Jnaneshwar Das, Robert K. Doe, Randall S. Cerveny
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
deep learning
gaussian process
tornado damage
damage assessment
UAS
Online Access:https://www.mdpi.com/2072-4292/13/9/1669

Internet

https://www.mdpi.com/2072-4292/13/9/1669

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