lidR (version 2.1.2)

manual: Individual Tree Detection Algorithm

Description

This function is made to be used in tree_detection. It implements an algorithm for manual tree detection. Users can pinpoint the tree top positions manually and interactively using the mouse. This is only suitable for small-sized plots. First the point cloud is displayed, then the user is invited to select a rectangular region of interest in the scene using the right mouse button. Within the selected region the highest point will be flagged as 'tree top' in the scene. Once all the trees are labeled the user can exit the tool by selecting an empty region. Points can also be unflagged. The goal of this tool is mainly for minor correction of automatically-detected tree outputs.

Usage

manual(detected = NULL, radius = 0.5, color = "red", ...)

Arguments

detected

SpatialPointsDataFrame of already found tree tops that need manual correction.

radius

numeric. Radius of the spheres displayed on the point cloud (aesthetic purposes only).

color

character. Color of the spheres displayed on the point cloud (aesthetic purposes only).

...

supplementary parameters to be passed to plot.

See Also

Other individual tree detection algorithms: lmf

Examples

# NOT RUN {
LASfile <- system.file("extdata", "MixedConifer.laz", package="lidR")
las = readLAS(LASfile)

# Full manual tree detection
ttops = tree_detection(las, manual())

# Automatic detection with manual correction
ttops = tree_detection(las, lmf(5))
ttops = tree_detection(las, manual(ttops))
# }

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