The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Global Mapping of Individual Building Heights Using Machine Learning and Analysis of 3D Urban Morphology to Unveil Global Disparities (AGU25)

Global Mapping of Individual Building Heights Using Machine Learning and Analysis of 3D Urban Morphology to Unveil Global Disparities

Yangzi Che, Sun Yat-Sen University, Guangzhou, China, Xiaoping Liu, Sun Yat-Sen University, School of Geography and Planning, Guangzhou, China and Xuecao Li, College of Land Science and Technology, China Agricultural University, Beijing, China
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