ign-pdal-tools 1.3.0

Library for common LAS files manipulation with PDAL

ign-pdal-tools

This repo contains various python tools based on PDAL that are used to work on LiDAR data in the LidarHD project at IGN (Institut National de l'Information Géographique et Forestière / French National Institute of Geographic and Forest Information) to work on LiDAR data.

We've decided to make them available because think that they may be useful to others, but this repo is NOT meant to be substantially modified from community input, and may be amended/completed depending on the fonctionalities that our team needs.

Content

This library contains pdal-based tools to:

• colorize a point cloud using images from Geoportail (a portal from French government providing access to aerial imagery)
• stitch together LAS files using their location
• standardize LAS files
• unlock LAS files generated by TerraSolid

Installation / Usage

This library can be used in different ways:

• installed with pip from pypi: pip install ign-pdal-tools
• used in a docker container: see documentation Dockerfile

More details on the contained tools

Colorization

• color.py: Colorize a point cloud from Geoportail data

Stitching

• las_clip.py: crop a LAS file using 2d bounding box
• las_merge.py: merge a LAS file with its neighbors according to their filenames
• las_add_buffer.py: add points to a LAS file from a buffer (border) from its neighbors (using filenames to locate neighbors)

WARNING: In las_merge.py and las_add_buffer.py, filenames are used to get the LAS files extents and to find neighbors. The naming convention is {prefix1}_{prefix2}_{xcoord}_{ycoord}_{postfix})} (eg. Semis_2021_0770_6278_LA93_IGN69.laz). By default, xcoord and ycoord are given in kilometers and the shape of the tile is 1 km * 1 km

Standardization

• standardize_format.py: re-write a LAS file in a standard format (see code for details)
• count_occurences: count occurences for each value of a given attribute in a set of LAS files (initially used for classification)
  • count_occurences_for_attribute.py: count occurences in one or several files and save the result in a json file.
  • merge_occurences_counts.py: merge counts from several results of count_occurences_for_attribute (json files) into a single json file (used for parallelization)
• replace_attribute_in_las.py: using a json file containing a correspondance map, replace the occurences of each value in a LAS file by its corresponding value from the map.

Unlock

unlock_file.py: overwrite a LAS file in case PDAL raises this error: readers.las: Global encoding WKT flag not set for point format 6 - 10. which is due to TerraSolid malformed LAS output for LAS1.4 files with point format 6 to 10.

Dev / Build

Contribute

Every time the code is changed, think of updating the version file: pdaltools/_version.py

Please log your changes in CHANGELOG.md

Tests

Create the conda environment: ./script/createCondaEnv.sh

Run unit tests: ./script/test.sh

Pip package

To generate a pip package and deploy it on pypi, use the Makefile at the root of the repo:

• make build: build the library
• make install: instal the library in an editable way (pip -e)
• make deploy : deploy it on pypi

Docker image

To build a docker image with the library installed: make docker-build

To test the docker image: make docker-test