is_classified() determines whether LAS point cloud files contain
point classifications other than class 0 (unclassified).
Arguments
- path
Character. Path to a LAS/LAZ/COPC file, a directory containing such files, or a Virtual Point Cloud (
.vpc).- full.names
Logical. If
TRUE, return full file paths; otherwise return base filenames only (default).- add_classes
Logical. If
TRUE, include a list-column with the detected classification codes present in the sampled points.
Value
A data.frame with columns:
- file
Filename of the LASfile.
- classified
Logical indicating whether classified points (class > 0) are present.
- classes
(Optional) List column of detected class codes.
Details
Unlike header-based functions, this function reads actual point data. To reduce I/O overhead, only a subset of points is sampled:
For LAS/LAZ files, points are sampled from a small circular region (10m radius) around the spatial center of the file.
For COPC files, only the first two hierarchy levels (0,1) are read.
As a result, classification status is inferred from the sampled points
and may not reflect the full contents of the file. To determine if a LASfile is
classified this is usually sufficient, but to get class abundances consider using
get_summary.
Examples
folder <- system.file("extdata", package = "managelidar")
las_files <- list.files(folder, full.names = T, pattern = "*20240327.laz")
las_files |> is_classified(add_classes = TRUE)
#> Error in loadNamespace(x): there is no package called ‘lasR’