itcSegment (version 0.1)

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, searchWinSize = 3, TRESHSeed = 0.45,
  TRESHCrown = 0.55, DIST = 10, specT = 0)

Arguments

imagery

An object of class raster on which to perform the segmentation

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).

specT

Spectral value below which a point cannot be a local maxima.

Value

• An object of the class SpatialPolygonsDataFrame containing the delineated ITCs. The data frame contains a column representing the area of each crown (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

data(imgData)

se<-itcIMG(imgData)
summary(se)
plot(se,axes=T)

## to save the data use rgdal function called writeOGR. For more help see rgdal package.