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28.1.12. Point Cloud Conversion
NEW in 3.32
Nota
These algorithms are only available if QGIS uses the PDAL library version 2.5.0 or newer.
28.1.12.1. Convert format
Converts a point cloud to a different file format, e.g. creates a compressed .LAZ
.
Parâmetros
Label |
Nome |
Type |
Descrição |
---|---|---|---|
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:
|
Resultados
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Converted |
|
[point cloud] |
Output point cloud layer in a modified file format.
Currently supported formats are |
Python code
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 Usando os algoritmos do processamento a partir da consola 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.
Parâmetros
Basic parameters
Label |
Nome |
Type |
Descrição |
---|---|---|---|
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
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Filter expression Opcional |
|
[expression] |
A PDAL expression for selecting a subset of features in the point cloud data |
Cropping extent Opcional |
|
[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 Opcional |
|
[number] |
|
Y origin of a tile for parallel runs Opcional |
|
[number] |
Resultados
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Exported |
|
[raster] |
Output raster layer features of the point cloud layer are exported to.
Currently supported format is |
Python code
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 Usando os algoritmos do processamento a partir da consola 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.
Nota
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.
Parâmetros
Basic parameters
Label |
Nome |
Type |
Descrição |
---|---|---|---|
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
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Filter expression Opcional |
|
[expression] |
A PDAL expression for selecting a subset of features in the point cloud data |
Cropping extent Opcional |
|
[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 Opcional |
|
[number] |
|
Y origin of a tile for parallel runs Opcional |
|
[number] |
Resultados
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Exported (using triangulation) |
|
[raster] |
Output raster layer features of the point cloud layer are exported to.
Currently supported format is |
Python code
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 Usando os algoritmos do processamento a partir da consola 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.
Parâmetros
Basic parameters
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Input layer |
|
[point cloud] |
Input point cloud layer to export |
Attribute Opcional |
|
[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
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Filter expression Opcional |
|
[expression] |
A PDAL expression for selecting a subset of features in the point cloud data |
Cropping extent Opcional |
|
[extent] |
A map extent for selecting a subset of features in the point cloud data Available methods are:
|
Resultados
Label |
Nome |
Type |
Descrição |
---|---|---|---|
Exported |
|
[vector] |
Output vector layer features of the point cloud layer are exported to.
Currently supported format is |
Python code
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 Usando os algoritmos do processamento a partir da consola for details on how to run processing algorithms from the Python console.