重要

Translation is a community effort you can join. This page is currently translated at 51.59%.

28.1.13. Point Cloud Data Management

NEW in 3.32

28.1.13.1. Assign projection 

Assigns a Coordinate Reference System to a point cloud layer, if it is missing or wrong. A new layer is created.

参见

Reproject

参数

标注

名称

类型

描述

输入图层

INPUT

[point cloud]

Input point cloud layer to assign a CRS to

Desired CRS

CRS

[crs]

The CRS to apply to the layer

Output layer

OUTPUT

[point cloud]

默认: [保存到临时文件]

Specify the point cloud file to use as output. One of:

保存到临时文件
保存到文件…

输出

标注	名称	类型	描述
Converted	`OUTPUT`	[point cloud]	Output point cloud layer with a new CRS. Currently supported formats are `.LAS`, `.LAZ`, `.COPC.LAZ` and `.VPC`.

Python代码

Algorithm ID: pdal:assignprojection

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.2. Build virtual point cloud (VPC)

Creates a virtual point cloud (VPC) from input point cloud data.

If you leave the optional parameters unchecked, the VPC file will be built very quickly as the algorithm will only read metadata of input files. With any of the optional parameters set, the algorithm will read all points which can take some time.

../../../../_images/point_cloud_buildvpc.png — 图 28.13 Generating Virtual Point Cloud with overview from a set of point cloud tiles

参见

Merge

参数

标注	名称	类型	描述
Input layers	`LAYERS`	[point cloud] [list]	Input point cloud layers to combine inside a virtual point cloud layer
Calculate boundary polygon	`BOUNDARY`	[boolean] Default: False	Set to True to show the exact boundaries of data (rather than just rectangular extent)
Calculate statistics	`STATISTICS`	[boolean] Default: False	Set to True to understand ranges of values of the various attributes
Build overview point cloud	`OVERVIEW`	[boolean] Default: False	Generates a single “thinned” point cloud of all the input data (using only every 1000th point from original data). The overview point cloud will be created next to the VPC file - for example, for `mydata.vpc`, the overview point cloud would be named `mydata-overview.copc.laz`.
Virtual point cloud	`OUTPUT`	[point cloud] 默认: `[保存到临时文件]`	Specify the point cloud file to build the data into. One of: 保存到临时文件保存到文件…

输出

标注	名称	类型	描述
Virtual point cloud	`OUTPUT`	[栅格]	Output point cloud layer combining all the input data, as a virtual file.

Python代码

Algorithm ID: pdal:virtualpointcloud

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.3. Clip 

Clips a point cloud layer by a polygon layer so that the resulting point cloud contains only points within the polygons.

../../../../_images/point_cloud_clip.png — 图 28.14 Clipping an input point cloud layer with a polygon coverage

参数

Basic parameters

标注

名称

类型

描述

输入图层

INPUT

[point cloud]

Input point cloud layer to clip

Clipping polygons

OVERLAY

[vector: polygon]

Polygon vector layer to use as coverage for clipping the points

Clipped

OUTPUT

[point cloud]

默认: [保存到临时文件]

Specify the point cloud file to export the clipped points to. One of:

保存到临时文件
保存到文件…

Advanced parameters

标注

名称

类型

描述

Filter expression

可选

FILTER_EXPRESSION

[expression]

A PDAL expression for selecting a subset of features in the point cloud data

Cropping extent

可选

FILTER_EXTENT

[范围]

A map extent for selecting a subset of features in the point cloud data

Available methods are:

Calculate from layer…: uses extent of a layer loaded in the current project
Calculate from layout map…: uses extent of a layout map item in the active project
Calculate from bookmark…: uses extent of a saved bookmark
Use map canvas extent
Draw on canvas: click and drag a rectangle delimiting the area to take into account
Enter the coordinates as xmin, xmax, ymin, ymax

输出

标注	名称	类型	描述
Clipped	`OUTPUT`	[栅格]	Output point cloud whose features are the points within the coverage polygon layer.

Python代码

Algorithm ID: pdal:clip

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.4. Create COPC 

Creates the index for all the input point cloud files in a batch mode.

参数

标注

名称

类型

描述

Input layers

LAYERS

[point cloud] [list]

Input point cloud layers to create an index for

Output directory

可选

OUTPUT

[folder]

Default: [Skip output]

Specify the folder to create the new files in. One of:

Skip Output
Save to a Temporary Directory
Save to Directory

输出

标注	名称	类型	描述
Output directory	`OUTPUT`	[folder]	Output folder containing point cloud layers with accompanying COPC index files.

Python代码

Algorithm ID: pdal:createcopc

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.5. Information 

Outputs basic metadata from an input point cloud file.

Example of output information:

LAS           1.4
point format  6
count         56736130
scale         0.001 0.001 0.001
offset        431749.999 5440919.999 968.898
extent        431250 5440420 424.266
              432249.999 5441419.999 1513.531
crs           ETRS89 / UTM zone 34N (N-E) (EPSG:3046)  (vertical CRS missing!)
units         horizontal=metre  vertical=unknown

Attributes:
- X floating 8
- Y floating 8
- Z floating 8
- Intensity unsigned 2
- ReturnNumber unsigned 1
- NumberOfReturns unsigned 1
- ScanDirectionFlag unsigned 1
- EdgeOfFlightLine unsigned 1
- Classification unsigned 1
- ScanAngleRank floating 4
- UserData unsigned 1
- PointSourceId unsigned 2
- GpsTime floating 8
- ScanChannel unsigned 1
- ClassFlags unsigned 1

参数

标注

名称

类型

描述

输入图层

INPUT

[point cloud]

Input point cloud layer to extract metadata information from

Layer information

OUTPUT

[file]

默认: [保存到临时文件]

Specify the file to store the metadata information. One of:

保存到临时文件
保存到文件…

输出

标注	名称	类型	描述
Layer information	`OUTPUT`	[vector]	`HTML` file to store the metadata information.

Python代码

Algorithm ID: pdal:info

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.6. Merge 

Merges multiple point cloud files into a single one.

参见

Build virtual point cloud (VPC)

参数

Basic parameters

标注

名称

类型

描述

Input layers

LAYERS

[point cloud] [list]

Input point cloud layers to merge into a single one

Merged

OUTPUT

[point cloud]

默认: [保存到临时文件]

Specify the output point cloud merging input files. One of:

保存到临时文件
保存到文件…

Advanced parameters

标注

名称

类型

描述

Filter expression

可选

FILTER_EXPRESSION

[expression]

A PDAL expression for selecting a subset of features in the point cloud data

Cropping extent

可选

FILTER_EXTENT

[范围]

A map extent for selecting a subset of features in the point cloud data

Available methods are:

Calculate from layer…: uses extent of a layer loaded in the current project
Calculate from layout map…: uses extent of a layout map item in the active project
Calculate from bookmark…: uses extent of a saved bookmark
Use map canvas extent
Draw on canvas: click and drag a rectangle delimiting the area to take into account
Enter the coordinates as xmin, xmax, ymin, ymax

输出

标注	名称	类型	描述
Merged	`OUTPUT`	[point cloud]	Output point cloud layer merging all the input files.

Python代码

Algorithm ID: pdal:merge

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.7. Reproject 

Reprojects a point cloud to a different Coordinate Reference System (CRS).

参见

Assign projection

参数

标注

名称

类型

描述

输入图层

INPUT

[point cloud]

Input point cloud layer to reproject to a different CRS

Target CRS

CRS

[crs]

The CRS to apply to the layer

Reprojected

OUTPUT

[point cloud]

默认: [保存到临时文件]

Specify the reprojected point cloud file. One of:

保存到临时文件
保存到文件…

Advanced parameters

标注

名称

类型

描述

Coordinate operation

可选

OPERATION

[datum]

The datum transformation to use to reproject the data between the origin and target systems.

输出

标注	名称	类型	描述
REPROJECTED	`OUTPUT`	[point cloud]	Output point cloud layer in the target CRS.

Python代码

Algorithm ID: pdal:reproject

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.8. Thin (by sampling radius)

Creates a thinned version of the point cloud by performing sampling by distance point (reduces the number of points within a certain radius).

../../../../_images/point_cloud_thin.gif — 图 28.15 Thining point cloud (by sampling radius)

参见

Thin (by skipping points)

参数

Basic parameters

标注

名称

类型

描述

输入图层

INPUT

[point cloud]

Input point cloud layer to create a thinned version from

Sampling radius (in map units)

SAMPLING_RADIUS

[数字]

默认值：1.0

Distance within which points are sampled to a unique point

Thinned (by radius)

OUTPUT

[point cloud]

默认: [保存到临时文件]

Specify the output point cloud with reduced points. One of:

保存到临时文件
保存到文件…

Advanced parameters

标注

名称

类型

描述

Filter expression

可选

FILTER_EXPRESSION

[expression]

A PDAL expression for selecting a subset of features in the point cloud data

Cropping extent

可选

FILTER_EXTENT

[范围]

A map extent for selecting a subset of features in the point cloud data

Available methods are:

Calculate from layer…: uses extent of a layer loaded in the current project
Calculate from layout map…: uses extent of a layout map item in the active project
Calculate from bookmark…: uses extent of a saved bookmark
Use map canvas extent
Draw on canvas: click and drag a rectangle delimiting the area to take into account
Enter the coordinates as xmin, xmax, ymin, ymax

输出

标注	名称	类型	描述
Thinned (by radius)	`OUTPUT`	[point cloud]	Output point cloud layer with reduced points.

Python代码

Algorithm ID: pdal:thinbyradius

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.9. Thin (by skipping points)

Creates a thinned version of the point cloud by keeping only every N-th point (reduces the number of points by skipping nearby points).

参见

Thin (by sampling radius)

参数

Basic parameters

标注

名称

类型

描述

输入图层

INPUT

[point cloud]

Input point cloud layer to create a thinned version from

Number of points to skip

POINTS_NUMBER

[数字]

Default: 1

Keep only every N-th point in the input layer

Thinned (by decimation)

OUTPUT

[point cloud]

默认: [保存到临时文件]

Specify the output point cloud with reduced points. One of:

保存到临时文件
保存到文件…

Advanced parameters

标注

名称

类型

描述

Filter expression

可选

FILTER_EXPRESSION

[expression]

A PDAL expression for selecting a subset of features in the point cloud data

Cropping extent

可选

FILTER_EXTENT

[范围]

A map extent for selecting a subset of features in the point cloud data

Available methods are:

Calculate from layer…: uses extent of a layer loaded in the current project
Calculate from layout map…: uses extent of a layout map item in the active project
Calculate from bookmark…: uses extent of a saved bookmark
Use map canvas extent
Draw on canvas: click and drag a rectangle delimiting the area to take into account
Enter the coordinates as xmin, xmax, ymin, ymax

输出

标注	名称	类型	描述
Thinned (by decimation)	`OUTPUT`	[point cloud]	Output point cloud layer with reduced points.

Python代码

Algorithm ID: pdal:thinbydecimate

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。

28.1.13.10. Tile 

Creates tiles from input point cloud files, recommended for best performance (in display or analysis) with such datasets in QGIS.

参见

Build virtual point cloud (VPC), Create COPC

参数

Basic parameters

标注

名称

类型

描述

Input layers

LAYERS

[point cloud] [list]

Input point cloud layers to create tiles from

Tile length

LENGTH

[数字]

Default: 1000.0

Size of the edge of each generated tile

Output directory

OUTPUT

[folder]

Default: [Save to temporary folder]

Specify the folder to store the generated tiles. One of:

Save to a Temporary Directory
Save to Directory

Advanced parameters

标注

名称

类型

描述

Assign CRS

可选

CRS

[crs]

The CRS to apply to the layer

输出

标注	名称	类型	描述
Output directory	`OUTPUT`	[folder]	Output folder containing the tiles generated from input files.

Python代码

Algorithm ID: pdal:tile

import processing
processing.run("algorithm_id", {parameter_dictionary})

当你在数据处理工具箱某个算法前悬停时，算法 id 将会展现。*参数字*将会提供参数的名称与数值。参考详见`数据处理_控制台`以获取如何从Python控制台中运行数据处理算法。