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Abstract: Best practices for using remote sensing data and artificial intelligence for mapping southeastern forest structure and dynamics (AGU25)

Best practices for using remote sensing data and artificial intelligence for mapping southeastern forest structure and dynamics

Cesar Ivan Alvites Diaz1, Carlos Alberto Silva1, Kody Brock2, Inacio Bueno1, Jeffery Cannon3, Jeff Atkins4, Ajay Sharma5, Marcos Longo6, Caio Hamamura7 and Andrew T Hudak8, (1)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (2)University of Florida, School of Forest, Fisheries, and Geomatics Sciences, Gainsville, United States, (3)Joseph W. Jones Ecological Research Center, Newton, United States, (4)Virginia Commonwealth University, Biology, Richmond, United States, (5)Auburn University, Auburn, United States, (6)Lawrence Berkeley National Laboratory, Berkeley, United States, (7)Federal Institute of Education, Science and Technology of São Paulo, São Paulo, Brazil, (8)USDA Forest Service, Rocky Mountain Research Station, Moscow, United States
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