itc.wat: Watershed Segmentation Individual Tree Crown Detection

In adam-erickson/gapfraction: Functions for processing airborne LiDAR scans of forests

Description

This function detects individual tree crowns using watershed segmentation

Usage

itc.wat(chm = NA, res = 1, ht2rad = NA, min.h = 1, tolerance = 0.1,
  num = TRUE, silent = FALSE, ws.plot = FALSE, geoTIFF = FALSE)

Arguments

chm	Name of the CHM raster object output from a chm function with stacked=FALSE. Defaults to NA.
res	Resolution of the input canopy height model in meters, used to adjust the ht2rad function. Defaults to 1.
ht2rad	Function used to convert tree height to crown radius. Defaults to NA.
min.h	Canopy minimum height. Defaults to 1.
tolerance	The minimum height between an object's highest point and the point where it contacts another object. If the height is smaller than the tolerance, the object will be combined with its highest neighbor. Defaults to 0.1.
num	Boolean switch for the output of numeric values instead of a raster object. Defaults to TRUE.
silent	Boolean switch for the interactive display of plots. Defaults to FALSE.
ws.plot	Boolean switch for the display of the watershed segmentation plot. Defaults to FALSE.
geoTIFF	Boolean switch for saving GeoTIFF raster of tree positions to a folder, if the chm parameter is a folder. Defaults to FALSE.

Value

The results of itc.wat

Author(s)

Adam Erickson, [e-mail]

References

http://www.mdpi.com/2072-4292/4/4/950/htm

Examples

itc.wat(chm=chm, res=1, ht2rad=function(x) 0.15746*x/res, min.h=1, tolerance=0.1, num=TRUE, silent=FALSE, ws.plot=FALSE, geoTIFF=FALSE)

adam-erickson/gapfraction documentation built on May 5, 2019, 6:57 p.m.