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Carbon modeling,Remote sensing,Modeling,Forest inventory,Random forest
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doi:10.1186/s13021-017-0081-1
Springer International Publishing
Carbon Balance and Management, doi:10.1186/s13021-017-0081-1
Carbon modeling
Remote sensing
Modeling
Forest inventory
Random forest
Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast-growing Eucalyptus forest plantation using airborne LiDAR data
Carlos Alberto Silva
Andrew Thomas Hudak
Carine Klauberg
Lee Alexandre Vierling
Carlos Gonzalez-Benecke
Samuel Padua Chaves Carvalho
Luiz Carlos Estraviz Rodriguez
Adrián Cardil
10.1186/s13021-017-0081-1
2010-04-23
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