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Abstract: A Fast Disaster Event Detection Method Based on a Series of Nighttime Light Images: Optimization and Validation for the Zhengzhou Flood Case of July 2021 (AGU25)

A Fast Disaster Event Detection Method Based on a Series of Nighttime Light Images: Optimization and Validation for the Zhengzhou Flood Case of July 2021

Ruiyu LIU, Osaka University, Division of Sustainable Energy and Environment, Graduate School of Engineering, Osaka, Japan and Takashi Machimura, The University of Osaka, Graduate School of Engineering, Suita, Japan
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