Machine learning for carbon stock prediction in a tropical forest in Southeastern Brazil

SUMMARY: The increasing awareness of global climate change has drawn attention to the role of forests as mitigators of this process as they act as carbon sinks to the atmosphere. Understanding the process of carbon storage in forests and its drivers, as well as presenting consistent models for their...

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Autores principales: Dantas,Daniel, de Castro Nunes Santos Terra,Marcela, Baldissera Schorr,Luis Paulo, Calegario,Natalino
Lenguaje:English
Publicado: Universidad Austral de Chile, Facultad de Ciencias Forestales 2021
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000100131
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