R: Individual Tree Detection Algorithm

manual {lidR} | R Documentation

## Individual Tree Detection Algorithm

### Description

This function is made to be used in find_trees. 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 mouse button. Within the selected region the highest point will be flagged as 'tree top' in the scene. Once all the trees are labelled 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", button = "middle", ...)

### 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. Colour of the spheres displayed on the point cloud (aesthetic purposes only).
`button` | Which button to use for selection. One of "left", "middle", "right". lidR using left for rotation and right for dragging using one of left or right will disable either rotation or dragging
`...` | 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 = find_trees(las, manual())

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

    ## End(Not run)

[Package lidR version 3.2.2 Index]