bionic (1) v.in.lidar.1grass.gz
NAME
v.in.lidar - Converts LAS LiDAR point clouds to a GRASS vector map with libLAS.
KEYWORDS
vector, import, LIDAR, level1
SYNOPSIS
v.in.lidar
v.in.lidar --help
v.in.lidar [-pruvetcboi] input=name output=name [id_layer=string] [return_layer=string]
[class_layer=string] [rgb_layer=string] [spatial=xmin,ymin,xmax,ymax[,xmin,ymin,xmax,ymax,...]]
[zrange=min,max] [return_filter=string] [class_filter=integer[,integer,...]] [mask=name]
[mask_layer=string] [skip=integer] [preserve=integer] [offset=integer] [limit=integer]
[location=name] [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
-p
Print LAS file info and exit
-r
Limit import to the current region
-u
Invert mask when selecting points
-v
Use only valid points
Points invalid according to APSRS LAS specification will be filtered out
-e
Extend region extents based on new dataset
-t
Do not create attribute table
-c
Do not automatically add unique ID as category to each point
Create only requested layers and categories
-b
Do not build topology
Advantageous when handling a large number of points
-o
Override projection check (use current location’s projection)
Assume that the dataset has same projection as the current location
-i
Create the location specified by the "location" parameter and exit. Do not import the vector data.
--overwrite
Allow output files to overwrite existing files
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog
Parameters:
input=name [required]
LAS input file
LiDAR input files in LAS format (*.las or *.laz)
output=name [required]
Name for output vector map
id_layer=string
Layer number to store generated point ID as category
Set to 1 by default, use -c to not store it
return_layer=string
Layer number to store return information as category
Leave empty to not store it
class_layer=string
Layer number to store class number as category
Leave empty to not store it
rgb_layer=string
Layer number where RBG colors are stored as category
Leave empty to not store it
spatial=xmin,ymin,xmax,ymax[,xmin,ymin,xmax,ymax,...]
Import subregion only
Format: xmin,ymin,xmax,ymax - usually W,S,E,N
zrange=min,max
Filter range for z data (min,max)
return_filter=string
Only import points of selected return type
If not specified, all points are imported
Options: first, last, mid
class_filter=integer[,integer,...]
Only import points of selected class(es)
Input is comma separated integers. If not specified, all points are imported.
mask=name
Areas where to import points
Name of vector map with areas where the points should be imported
mask_layer=string
Layer number or name for mask option
Vector features can have category values in different layers. This number determines which layer to
use. When used with direct OGR access this is the layer name.
Default: 1
skip=integer
Do not import every n-th point
For example, 5 will import 80 percent of points. If not specified, all points are imported
preserve=integer
Import only every n-th point
For example, 4 will import 25 percent of points. If not specified, all points are imported
offset=integer
Skip first n points
Skips the given number of points at the beginning.
limit=integer
Import only n points
Imports only the given number of points
location=name
Name for new location to create
DESCRIPTION
v.in.lidar converts LiDAR point clouds in LAS format to a GRASS vector, using the libLAS library. The
created vector is true 3D with x, y, z coordinates.
For larger datasets, it is recommended to not build topology (-b flag). Also, creating a table with
attributes can take some time for larger datasets.
The optional spatial parameter defines spatial query extents. This parameter allows the user to restrict
the region to a spatial subset while importing the data. All LiDAR points falling into this rectangle
subregion are imported. The -r current region flag is identical, but uses the current region settings as
the spatial bounds (see g.region).
A LiDAR pulse can have multiple returns. The first return values can be used to obtain a digital surface
model (DSM) where e.g. canopy cover is represented. The last return values can be used to obtain a
digital terrain model (DTM) where e.g. the forest floor instead of canopy cover is represented. The
return_filter option allows selecting one of first, mid, or last returns.
LiDAR points can be already classified into standardized classes. For example, class number 2 represents
ground (for other classes see LAS format specification in references). The class_filter option allows
selecting one or more classes, as numbers (integers) separated by comma.
Note that proper filtering of the input points in not only critical for the analysis itself but it can
also speed up the processing significantly.
Decimation
Table with selected percentages of points to keep with corresponding decimation parameters:
percentage parameters
0.1% preserve=1000
1% preserve=100
5% preserve=20
10% preserve=10
20% preserve=5
25% preserve=4
50% skip=2
75% skip=4
80% skip=5
90% skip=10
Table with selected fractions of points to keep with corresponding decimation parameters:
ratio parameters
1/3 preserve=3
1/4 preserve=4
1/5 preserve=5
1/6 preserve=6
Table with selected fractions of points to throw away with corresponding decimation parameters:
ratio parameters
1/3 skip=3
1/4 skip=4
1/5 skip=5
1/6 skip=6
Location Creation
v.in.lidar attempts to preserve projection information when importing datasets if the source format
includes projection information, and if the LAS driver supports it. If the projection of the source
dataset does not match the projection of the current location v.in.lidar will report an error message
("Projection of dataset does not appear to match current location") and then report the PROJ_INFO
parameters of the source dataset.
If the user wishes to ignore the difference between the apparent coordinate system of the source data and
the current location, they may pass the -o flag to override the projection check.
If the user wishes to import the data with the full projection definition, it is possible to have
v.in.lidar automatically create a new location based on the projection and extents of the file being
read. This is accomplished by passing the name to be used for the new location via the location
parameter. Upon completion of the command, a new location will have been created (with only a PERMANENT
mapset), and the vector map will have been imported with the indicated output name into the PERMANENT
mapset.
NOTES
The typical file extensions for the LAS format are .las and .laz (compressed). The compressed LAS (.laz)
format can be imported only if libLAS has been compiled with laszip support. It is also recommended to
compile libLAS with GDAL, needed to test for matching projections.
EXAMPLE
This example is analogous to the example used in the GRASS wiki page for importing LAS as vector points.
The sample LAS data are in the file "Serpent Mound Model LAS Data.las", available at appliedimagery.com
# print LAS file info
v.in.lidar -p input="Serpent Mound Model LAS Data.las"
# create location with projection information of the LAS data
v.in.lidar -i input="Serpent Mound Model LAS Data.las" location=Serpent_Mound
# quit and restart GRASS in the newly created location "Serpent_Mound"
# real import of LiDAR LAS data, without topology and without attribute table
v.in.lidar -tb input="Serpent Mound Model LAS Data.las" output=Serpent_Mound_Model_pts
SEE ALSO
r.in.lidar, r3.in.lidar, g.region, v.vect.stats, v.in.ogr
REFERENCES
ASPRS LAS format
LAS library
LAS library C API documentation
AUTHOR
Markus Metz
Vaclav Petras, NCSU GeoForAll Lab (decimation, cats, areas, zrange)
based on v.in.ogr by various authors
Last changed: $Date: 2016-08-23 04:00:20 +0200 (Tue, 23 Aug 2016) $
SOURCE CODE
Available at: v.in.lidar source code (history)
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© 2003-2018 GRASS Development Team, GRASS GIS 7.4.0 Reference Manual