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Normalize point clouds

Source: R/catalog_normalize.R
catalog_normalize.Rd

This function normalizes point clouds to receive the height above ground as a additional attribute

Usage

catalog_normalize(
  lascatalog,
  algorithm = tin(),
  dtm_path = NULL,
  output_path,
  filename_convention = "{ORIGINALFILENAME}",
  parallel = FALSE,
  n_cores = 2
)

Arguments

lascatalog

object of class lascatalog. Needs to have classified ground points.

algorithm

(1) An algorithm used for spatial interpolation of the point cloud data, uses the ones available via lidR::normalize_height() or (2) the character vector "dtm" when a dtm is available and should be used. Defaults to tin().

dtm_path

character path to the raster file representing the dtm. File should be readable by terra::rast()

output_path

character path to the folder where the new files should be exported to

filename_convention

character defining the filenames of the generated laz files following lidR basics. Defaults to the original filename

parallel

logical of length 1. Should the computation be split over several cores? Defaults to FALSE.

n_cores

numeric of length 1. If parall = TRUE, on how many cores should the computations be run on? Defaults to the value registered in options("cores")[[1]], or, if this is not available, to parallel::detectCores()).

Value

lascatalog

Examples