itcSegment (version 0.2)

itcIMG: Individual Tree Crowns segmentation with imagery data

Description

The ITC delineation approach finds local maxima within an imagery, designates these as tree tops, then uses a decision tree method to grow individual crowns around the local maxima.

Usage

itcIMG(imagery = NULL, epsg = NULL, searchWinSize = 3, TRESHSeed = 0.45, TRESHCrown = 0.55, DIST = 10, th = 0, ischm = FALSE)

Arguments

imagery

An object of class raster on which to perform the segmentation. The image should be projected.

epsg

The EPSG code of the reference system of the image.

searchWinSize

Size (in pixels) of the moving window used to the detect the local maxima. It should be an odd number larger than 3.

TRESHSeed

Growing threshold 1. It should be between 0 and 1.

TRESHCrown

Growing threshold 2. It should be between 0 and 1.

DIST

Maximum value of the crown diameter of a detected tree (in meters).

th

Digital number value below which a pixel cannot be a local maxima.

ischm

TRUE if the imagery is a Canopy Height Model (CHM). Default: FALSE.

Value

An object of the class SpatialPolygonsDataFrame containing the delineated ITCs. The informaion for each ITC contained in the data frame are the X and Y coordinates position of the tree, the tree height in meters (Height_m; only if ischm=TRUE) and its crown area in square meters (CA_m2).

References

M. Dalponte, F. Reyes, K. Kandare, and D. Gianelle, "Delineation of Individual Tree Crowns from ALS and Hyperspectral data: a comparison among four methods," European Journal of Remote Sensing, Vol. 48, pp. 365-382, 2015.

Examples

## Not run: 
# data(imgData)
# 
# se<-itcIMG(imgData,epsg=32632)
# summary(se)
# plot(se,axes=T)
# 
# ## to save the data use rgdal function called writeOGR. For more help see rgdal package.
# 
# ## End(Not run)