gridmetrics: summarize lidar for raster pixels

View source: R/gridmetrics.r

gridmetricsR Documentation

summarize lidar for raster pixels

Description

summarize lidar for raster pixels

Usage

gridmetrics(
  las_files,
  dtm_files = NA,
  dtm_folder = NA,
  dtm_ext = ".dtm",
  no_dtm = F,
  fun = compute_metrics2,
  xmin = NA,
  xmax = NA,
  ymin = NA,
  ymax = NA,
  res = 66,
  grid = NA,
  n_read = NA,
  out_name = NA,
  return = F,
  con = NA,
  out_table = NA,
  ...
)

Arguments

las_files

list of paths to las files

dtm_files

optional list of paths to dtms

dtm_folder

optional folder of dtms

dtm_ext

what is the file extension of dtms

xmin

(optional) force extent of analysis

xmax

(optional) force extent of analysis

ymin

(optional) force extent of analysis

ymax

(optional) force extent of analysis

res

resolution of processing analysis in units of provided lidar / dtm

grid

pre-defined raster for analysis - lidar metrics are computed for each cell

intersect_only

only provide outputs over areas in which lidar and dtms intersect?

fns

list of functions that will be used to generate columns of summary statistics from the las data

Details

summarize lidar for raster pixels

This program is free software but it is provided WITHOUT WARRANTY and with ABSOLUTELY NO GUARANTEE of fitness or functionality for any purpose; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.


Revision History

1.0 2017 March 08 Created

Value

optional dataframe of xy coordinates for cell centers and additional columns of metrics

Author(s)

Jacob Strunk <Jstrunk@fs.fed.us>

See Also

read_las
read_dtm

Examples

dtms1="C:\\temp\\dtm_test\\"
las1="C:\\temp\\lidar_test\\"
las_files=list.files(las1,pattern="[.]las",full.names=T)
dtm_files=list.files(dtms1,pattern="[.]dtm",full.names=T)
metrics=gridmetrics(las_files=las_files,dtm_files=dtm_files)
head(metrics)


jstrunk001/RSForInvt documentation built on April 18, 2022, 11:03 p.m.