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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

Posted date: July 19, 2017
Publication Year: 
2017
Authors: Silva, Carlos Alberto; Hudak, Andrew T.; Klauberg, Carine; Vierling, Lee Alexandre; Gonzalez‑Benecke, Carlos; Carvalho, Samuel de Padua Chaves; Rodriguez, Luiz Carlos Estraviz; Cardil, Adrian
Publication Series: 
Scientific Journal (JRNL)
Source: Carbon Balance Manage. 12: 13.

Abstract

LiDAR measurements can be used to predict and map AGC across variable-age Eucalyptus plantations with adequate levels of precision and accuracy using 5 pulses m− 2 and a grid cell size of 5 m. The promising results for AGC modeling in this study will allow for greater confidence in comparing AGC estimates with varying LiDAR sampling densities for Eucalyptus plantations and assist in decision making towards more cost effective and efficient forest inventory.

Citation

Silva, Carlos Alberto; Hudak, Andrew Thomas; Klauberg, Carine; Vierling, Lee Alexandre; Gonzalez‑Benecke, Carlos; Carvalho, Samuel de Padua Chaves; Rodriguez, Luiz Carlos Estraviz; Cardil, Adrian. 2017. 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. Carbon Balance Manage. 12: 13.