Sgsr: a structurally guided sampling toolbox for lidar-based forest inventories

HIGHLIGHTS

  • who: Forestry et al. from the Faculty of, Department of Forest Resources Management, University of British Columbia, Main Mall, Vancouver, BC V T , Canada have published the research work: sgsR: a structurally guided sampling toolbox for LiDAR-based forest inventories, in the Journal: (JOURNAL) of 20/05/2022
  • what: The aim of this package is to provide a toolkit to facilitate better optimized allocation of sample units and sample size as well as to assess and augment existing plot networks by accounting for current forest structural conditions. R code used for all examples can be . . .

     

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