chmseg_ITC: Decision tree segmentation method to grow individual tree...

In gisma/uavRst: Unmanned Aerial Vehicle Remote Sensing Tools

Decision tree segmentation method to grow individual tree crowns based on 'itcSegment'

Description

Segmentation of individual tree crowns as polygons based on a LiDAR derived canopy height model. Michele Dalponte: R package itcSegment. 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.

Usage

chmseg_ITC(
  chm = NULL,
  EPSG = 3064,
  movingWin = 7,
  TRESHSeed = 0.45,
  TRESHCrown = 0.55,
  minTreeAlt = 2,
  maxCrownArea = 100
)

Arguments

chm	raster*, Canopy height model in raster or SpatialGridDataFrame file format. Should be the same that was used to create the input for treepos.
EPSG	character. The EPSG code of the reference system of the CHM raster image.
movingWin	numeric. Size (in pixels) of the moving window to detect local maxima. itcSegment
TRESHSeed	numeric. seeding threshold. itcSegment
TRESHCrown	numeric. crowns threshold. itcSegment
minTreeAlt	numeric. Height threshold (m) below a pixel cannot be a local maximum. Local maxima values are used to define tree tops.itcSegment
maxCrownArea	numeric. A single value of the maximum projected tree crown area allowed. Default 100 sqm. height of treepos.

Value

sp* object

Examples

 require(uavRst)
 data(chm_seg)
##- segmentation
crownsITC<- chmseg_ITC(chm = chm_seg[[1]],
                       EPSG =3064,
                       movingWin = 7,
                       TRESHSeed = 0.45,
                       TRESHCrown = 0.55,
                       minTreeAlt = 5,
                       maxCrownArea = 50)

##- visualisation
raster::plot(crownsITC)

gisma/uavRst documentation built on Feb. 14, 2023, 8:49 a.m.