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Abstract: Spatiotemporally Continuous Mapping of Global Forest Two-Layer Plant Area Index Using a GEDI-informed Machine Learning Model (AGU25)

Spatiotemporally Continuous Mapping of Global Forest Two-Layer Plant Area Index Using a GEDI-informed Machine Learning Model

Da Guo1, Chi Chen1, Xiaojing Tang2 and Jianmin Wang3, (1)Rutgers University New Brunswick, New Brunswick, NJ, United States, (2)James Madison University, School of Integrated Sciences, Harrisonburg, VA, United States, (3)Purdue University, Forestry and Natural Resources, West Lafayette, United States
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