Wichtig
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28.1.12. Point Cloud Conversion
NEW in 3.32
28.1.12.1. Convert format
Converts a point cloud to a different file format, e.g. creates a compressed .LAZ
.
Parameter
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Input layer |
|
[point cloud] |
Input point cloud layer to convert |
Converted |
|
[point cloud] Default: |
Specify the point cloud file to use as output. One of:
|
Ausgaben
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Converted |
|
[point cloud] |
Output point cloud layer in a modified file format.
Currently supported formats are |
Pythoncode
Algorithm ID: pdal:convertformat
import processing
processing.run("algorithm_id", {parameter_dictionary})
The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Verarbeitung Algorithmen von der Konsole aus verwenden for details on how to run processing algorithms from the Python console.
28.1.12.2. Export to raster
Exports point cloud data to a 2D raster grid having cell size of given resolution, writing values from the specified attribute.
Parameter
Basic parameters
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Input layer |
|
[point cloud] |
Input point cloud layer to export |
Attribute |
|
[field] [enumeration] |
A Field of the point cloud layer to extract the values from |
Resolution of the density raster |
|
[number] Default: 1.0 |
Cell size of the output raster |
Tile size for parallel runs |
|
[number] Default: 1000 |
|
Exported |
|
[raster] Default: |
Specify the raster file to export the data to. One of:
|
Advanced parameters
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Filter expression Optional |
|
[expression] |
A PDAL expression for selecting a subset of features in the point cloud data |
Cropping extent Optional |
|
[extent] |
A map extent for selecting a subset of features in the point cloud data Available methods are:
|
X origin of a tile for parallel runs Optional |
|
[number] |
|
Y origin of a tile for parallel runs Optional |
|
[number] |
Ausgaben
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Exported |
|
[raster] |
Output raster layer features of the point cloud layer are exported to.
Currently supported format is |
Pythoncode
Algorithm ID: pdal:exportraster
import processing
processing.run("algorithm_id", {parameter_dictionary})
The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Verarbeitung Algorithmen von der Konsole aus verwenden for details on how to run processing algorithms from the Python console.
28.1.12.3. Export raster (using triangulation)
Exports point cloud data to a 2D raster grid using a triangulation of points and then interpolating cell values from triangles.
Bemerkung
Using this algorithm can be slower if you are dealing with a large dataset. If your point cloud is dense, you can export your ground points as a raster using the Export to raster algorithm.
Parameter
Basic parameters
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Input layer |
|
[point cloud] |
Input point cloud layer to export |
Resolution of the density raster |
|
[number] Default: 1.0 |
Cell size of the output raster |
Tile size for parallel runs |
|
[number] Default: 1000 |
|
Exported |
|
[raster] Default: |
Specify the raster file to export the data to. One of:
|
Advanced parameters
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Filter expression Optional |
|
[expression] |
A PDAL expression for selecting a subset of features in the point cloud data |
Cropping extent Optional |
|
[extent] |
A map extent for selecting a subset of features in the point cloud data Available methods are:
|
X origin of a tile for parallel runs Optional |
|
[number] |
|
Y origin of a tile for parallel runs Optional |
|
[number] |
Ausgaben
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Exported (using triangulation) |
|
[raster] |
Output raster layer features of the point cloud layer are exported to.
Currently supported format is |
Pythoncode
Algorithm ID: pdal:exportrastertin
import processing
processing.run("algorithm_id", {parameter_dictionary})
The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Verarbeitung Algorithmen von der Konsole aus verwenden for details on how to run processing algorithms from the Python console.
28.1.12.4. Export to vector
Exports point cloud data to a vector layer with 3D points (a GeoPackage), optionally with extra attributes.
Parameter
Basic parameters
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Input layer |
|
[point cloud] |
Input point cloud layer to export |
Attribute Optional |
|
[field] [list] |
One or more fields of the point cloud layer to export with the points. |
Exported |
|
[vector] Default: |
Specify the vector file to export the data to. One of:
|
Advanced parameters
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Filter expression Optional |
|
[expression] |
A PDAL expression for selecting a subset of features in the point cloud data |
Cropping extent Optional |
|
[extent] |
A map extent for selecting a subset of features in the point cloud data Available methods are:
|
Ausgaben
Bezeichnung |
Name |
Typ |
Beschreibung |
---|---|---|---|
Exported |
|
[vector] |
Output vector layer features of the point cloud layer are exported to.
Currently supported format is |
Pythoncode
Algorithm ID: pdal:exportvector
import processing
processing.run("algorithm_id", {parameter_dictionary})
The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Verarbeitung Algorithmen von der Konsole aus verwenden for details on how to run processing algorithms from the Python console.