Find potential tree positions using a canopy height model

Source: R/fa_treepos.R

Find potential tree positions using a canopy height model by using an iterative watershed algorithm. Basically returns a vector data sets with the tree crown geometries and a bunch of corresponding indices.

treepos_GWS(
  chm = NULL,
  minTreeAlt = 10,
  minTreeAltParam = "chmQ20",
  minCrownArea = 3,
  maxCrownArea = 150,
  join = 1,
  thresh = 0.1,
  split = TRUE,
  cores = parallel::detectCores(),
  giLinks = NULL
)

Arguments

chm

raster* canopy height model

minTreeAlt

numeric. minimum height of trees to be integrated in the analysis

minTreeAltParam

character. code for the percentile that is used as tree height treshold. It is build using the key letters chmQ and adding the percentile i.e. "10". Default is chmQ20

minCrownArea

numeric. minimum area in square meter (if you use projected data) of the projected tree crowns

maxCrownArea

numeric. maximum area in square meter (if you use projected data) of the projected tree crowns

join

numeric. Join Segments based on Threshold Value, 0=no join, 1=treepos_GWS2saddle diff, 2=treepos_GWS2treepos diff. see also SAGA GIS Help

thresh

numeric. Specify a threshold value as minimum difference between neighboured segments in meter. see also SAGA GIS Help

split

split polygons default is TRUE

cores

number of cores to be used

giLinks

list. of GI tools cli paths

Value

raster* object

return raster* object

Author

Chris Reudenbach

Examples