Individual tree segmentation using a simple watershed. This method is a
watershed segmentation
method. It is based on the bioconductor package EBIimage. You need to install this package
to run this method (see its github page).
lastrees_watershed(las, chm, th_tree = 2, tol = 1, ext = 1,
extra = FALSE, ...)An object of the class LAS. If missing extra is turned to TRUE
automatically.
RasterLayer. Image of the canopy. Can be computed with grid_canopy or grid_tincanopy or read it from an external file.
numeric. Threshold below which a pixel cannot be a tree. Default 2.
numeric. Tolerance see ?EBImage::watershed.
numeric. see ?EBImage::watershed.
logical. By default the function classifies the original point cloud by reference
and return nothing (NULL) i.e. the original point cloud is automatically updated in place. If
extra = TRUE an additional RasterLayer used internally can be returned.
Supplementary options. Currently field is supported to change the default name of
the new column.
Nothing (NULL), the point cloud is updated by reference. The original point cloud
has a new column named 'treeID' (or something else if the field option has been changed)
containing an ID for each point that refer to a segmented tree.
If extra = TRUE the function returns a RasterLayer used internally.
Other tree_segmentation: lastrees_dalponte,
lastrees_li2, lastrees_silva,
lastrees