Estimating forest structural parameters using canopy metrics derived from airborne lidar data in subtropical forests

HIGHLIGHTS

  • who: Zhengnan Zhang et al. from the Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing , have published the paper: Estimating Forest Structural Parameters Using Canopy Metrics Derived from Airborne LiDAR Data in Subtropical Forests, in the Journal: (JOURNAL)
  • what: The authors evaluated the utility of standard metrics and canopy metrics derived from airborne data for estimating plot-level forest structural parameters individually and in combination over a subtropical forest in Yushan forest farm southeastern China. This study demonstrated that canopy metrics based on canopy vertical profiles can be effectively used . . .

     

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