Skip to content

Create STACs from point clouds from various airborne LiDAR acquisition projects conducted in Canada. The LiDAR point cloud data is licensed under an open government license (Canada) and has been incorporated into the National Elevation Data Strategy.

License

stactools-packages/canelevation

Repository files navigation

stactools-canelevation

PyPI

A stactools package for working with Cloud Optimized Point Clouds (copc) data from the CanElevation data series from NRCan.

STAC Examples

Installation

pip install stactools-canelevation

Command-line Usage

Base use is below:

stac canelevation create-collection -d <destination>
stac canelevation create-item <source> <destination>

stac canelevation create-item https://ftp-maps-canada-ca.s3.amazonaws.com/pub/elevation/pointclouds_nuagespoints/NRCAN/Fort_McMurray_2018/AB_FortMcMurray2018_20180518_NAD83CSRS_UTMZ12_1km_E4760_N62940_CQL1_CLASS.copc.laz examples/

PDAL can read just the header of a COPC file using the quicklook function. The -q or --quick flags allow PDAL to quickly gather some metadata without opening the file.

This does not fill the schemas property of the pointcloud stac extension.

Use stac canelevation --help to see all subcommands and options.

Contributing

We use pre-commit to check any changes. To set up your development environment:

pip install -e .
pip install -r requirements-dev.txt
pre-commit install

To check all files:

pre-commit run --all-files

To run the tests:

pytest -vv

About

Create STACs from point clouds from various airborne LiDAR acquisition projects conducted in Canada. The LiDAR point cloud data is licensed under an open government license (Canada) and has been incorporated into the National Elevation Data Strategy.

Resources

License

Code of conduct

Stars

Watchers

Forks