stactools-canelevation

• Name: canelevation
• Package: stactools.canelevation
• stactools-canelevation on PyPI
• Owner: @jbants
• Dataset homepage
• STAC extensions used:
  • proj
  • pointcloud
• Browse the example in human-readable form

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

STAC Examples

• Collection
• Item

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