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Abstract: A daily, long-term, microwave remote sensing-informed dataset of live fuel moisture content from machine learning (AGU25)

A daily, long-term, microwave remote sensing-informed dataset of live fuel moisture content from machine learning

Trent W Robinett1, Emil Biju2,3, Dapeng Feng4,5 and Alexandra G Konings2, (1)Stanford University, Stanford, CA, United States, (2)Stanford University, Earth System Science, Stanford, United States, (3)Microsoft Corporation, Redmond, United States, (4)Stanford University, Earth System Science, Stanford, CA, United States, (5)Stanford University, Institute for Human-Centered Artificial Intelligence, Stanford, CA, United States
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