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: Machine Learning–Driven Estimation of Site-Specific Wood Density in Tropical Forest Ecology (AGU25)

Machine Learning–Driven Estimation of Site-Specific Wood Density in Tropical Forest Ecology

Sehinde Akinbiola1, Ayomide Olubaju2, Johnson Ibukun3, Jide Ebenezer Akinsola4, Ayobami Salami5 and Olusegun Awotoye5, (1)First Technical University, Ibadan, Nigeria, (2)First Technical University. Ibadan,Nigeria, Surveying and Geoinformatics, Ibadan, Nigeria, (3)Federal University of Technology Akure, Remote sensing and Geosciences, Akure, Nigeria, (4)First Technical University, Computer Science, Ibadan, Nigeria, (5)Obafemi Awolowo University, Institute of Ecology and Environmental Studies, Ile Ife, Nigeria
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