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Last data update: 2014.03.03

R: Individual Tree Crowns segmentation with imagery data

itcIMG

R Documentation

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).

Author(s)

Michele Dalponte

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)