# Lidar preprocessing ```{container} algorithm-id **Algorithm ID**: `hedgetools:lidarpreprocessing` ``` Preprocess lidar point cloud COPC files. COPC files are point clouds files optimized for spatial request and can be created from common LAS/LAZ files using QGIS [pdal:createcopc](https://docs.qgis.org/3.44/fr/docs/user_manual/processing_algs/qgis/pointclouddatamanagement.html#create-copc) algorithm. Preprocessing operations available are display below panels for parameters and outputs and are calls to [PDAL](https://pdal.org/en/2.10.0/) library algorithms. Preprocessed point clouds files are saved in a destination folder. ## Parameters | Label | Name | Type | Description | | -------------------------------------------- | -------------- | ------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------- | | COPC lidar files | `LIDAR_FOLDER` | [folder] | Folder with COPC lidar files. | | Lidar preprocessing operations
Optional | `OPERATIONS` | [string]
Default: None | JSON string containing preprocessing operations with parameters. Choice of operations is made using `Lidar preprocessing operations` panel. | | Mask
Optional | `MASK` | [vector: polygon] | Polygon layer to clip lidar point cloud. | | Parrallel threads | `WORKERS` | [numeric: integer] | Number of parrallel threads. | | Destination folder | `OUTPUT` | [string]
Default: `[Save in temporary folder]` | Folder to save preprocessed point cloud COPC files. | ## Operations ### Height Above Ground normalization Normalize height with nearest neighbor or delaunay filer. PDAL documentation: - https://pdal.io/en/2.8.4/stages/filters.hag_delaunay.html - https://pdal.io/en/2.8.4/stages/filters.hag_nn.html | Name | Type | Description | | ---------- | --------------------------- | -------------------------------------------- | | `Strategy` | [string]
Default: `nn` | Normalization strategy (`delaunay` or `nn`). | ### Assignment Assign values for a dimension range to a specified value. PDAL documentation: - https://pdal.io/en/2.8.4/stages/filters.assign.html | Name | Type | Description | | ------------ | -------- | ------------------------------------------------------------ | | `Condition` | [string] | Condition to assign value. Must be writted with PDAl syntax. | | `Assignment` | [string] | Assignation. Must be writted with PDAL syntax. | ### Range filter Filters dimension within a given range. PDAL documentation: - https://pdal.io/en/2.8.4/stages/filters.range.html | Name | Type | Description | | ---------------- | --------------------------------------- | ------------------------------------------------------------------------- | | `Field` | [string]
Default: `Classification` | Point cloud dimension/field to filter (`Classification`, `X`,`Y` or `Z`). | | `Inferior bound` | [numeric: integer]
Default : 1 | Inferior bound for range filter. Keep values above. | | `Superior bound` | [numeric: integer]
Default : 99 | Superior bound for range filter. Keep values below. | ### Statistical Outliers Removal Remove point cloud outliers. PDAL documentation: - https://pdal.io/en/2.8.4/stages/filters.outlier.html | Name | Type | Description | | ------------------------------ | ----------------------------------------------- | ------------------------------------------------------- | | `Mean number of neighbors` | [numeric: integer]
Default: 8 | Mean number of neighbors (statistical method only). | | `Standard deviation threshold` | [numeric: double]
Default : 2.0 | Standard deviation threshold (statistical method only). | | `Method` | [string]
Default : `statistical` | The outlier removal method (`statistical` or `radius`). | | `Radius` | [numeric: double]
Default : 1.0 | Radius (radius method only). |