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Abstract: Mapping aboveground carbon density across space and time (4D) in tropical savanna using multi-source remote sensing data and artificial intelligence (AGU25)

Mapping aboveground carbon density across space and time (4D) in tropical savanna using multi-source remote sensing data and artificial intelligence

Cesar Ivan Alvites Diaz1, Carlos Alberto Silva1, Denis Valle2, Ana Paula Corte3, Inacio Bueno1, Fabiano Rodrigues Pereira3, Veraldo Liesenberg4, Lucas Bielak Rezende3, Gabriel Silva5, Carine Klauberg1 and Andrew T Hudak6, (1)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (2)University of Florida, School of Forest Resources and Conservation, Gainesville, FL, United States, (3)BIOFIX, Universidade Federal do Paraná, Avenida Prefeito Lothario Meissner, 632, Jardim Botânico, Curitiba, PR, BR 80210-170,, Curitiba, Brazil, (4)Department of Forest Engineering, Santa Catarina State University (UDESC), Lages 88520-000, SC, Brazil, Lages, Brazil, (5)Instituto Nacional de Pesquisas Espaciais, Sao Paulo, Brazil, (6)USDA Forest Service, Rocky Mountain Research Station, Moscow, United States
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