experimental_metrics: compute experimental lidar metrics

In jstrunk001/RSForInvt: Remote Sensing FORest INVenTory related analysis tasks, especially FUSION, lidR, NVEL

compute experimental lidar metrics

Description

take advantage of xy and 3d information

Usage

experimental_metrics(
  x = NA,
  y = NA,
  z = NA,
  i = NA,
  rn = NA,
  cl = NA,
  r = NA,
  g = NA,
  b = NA,
  resxy = 20,
  resxyz = 20,
  ressurf = 5,
  htcover = 6,
  zthresh = c(3, 6, 12, 20),
  adjustz = c("none", "positive", "min0", "zq01"),
  outlier = c(min = NA, max = NA)
)

Arguments

x	lidR object X vector : las1$X
y	lidR object Y vector : las1$Y
z	lidR object Z vector : las1$Z
i	lidR object intensity vector : las1$Intensity
rn	lidR object return vector : las1$ReturnNumber
cl	lidR object return vector : las1$Classification
r	lidR object red vector : las1$R
g	lidR object green vector : las1$G
b	lidR object blue vector : las1$B
resxy	resolution to use when computing xy statistic - grid resolution
resxyz	resolution to use when computing xyz statistic - voxel resolution
ressurf	resolution to use when computing raster areas - grid resolution
htcover	height to use when computing cover and threshold for eliminating ground returns
zthresh	height thresholds to use for height ratios round(100*length(z[ z > zthresh[i]]) / length(z[ z > htcover]),2)
adjustz	(optional) method used to shift z values up/down. When there is no DTM or the DTM is poor (e.g. when used with DAP) this can help
outlier	a two value vector with minimum and maximum values used to restrict the range of z values considered

Details

<Delete and Replace>

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	4/4/2019

Value

list of statistics, currently only computed on x,y,z

Author(s)

Jacob Strunk <[e-mail]>

See Also

lidR::readLAS
lidR::lasmetrics
lidR::grid_metrics

Examples

   if(!"las1" %in% ls()) las1 = readLAS("D:\\Box\\sync\\R\\analyses\\wa_dsm_env_fia\\data\\plot_clips_ht\\plot_44.laz")
   test2 = lasmetrics(las1,experimental_metrics(X,Y,Z))
   test2

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