stactools.goes_glm
goes:
: As defined in the GOES extension.
All variables with valid scalar values / without dimensions are added to
the Item properties with a goes:
prefix. The variable name is used as
the property key after the prefix, e.g. goes:event_count
.A stactools package for the Geostationary Lightning Mapper (GLM) dataset, which is on the GOES-16/R, GOES-17/S, and GOES-18/T satellites. GLM detects all forms of lightning during both day and night, continuously, with a high spatial resolution and detection efficiency.
This package can generate STAC files from netCDF files and that either link to the original netCDF files or to geoparquet files.
pip install stactools-goes-glm
Use stac goes-glm --help
to see all subcommands and options.
Create a collection:
stac goes-glm create-collection collection.json --license=https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C01527
Get information about all options for collection creation:
stac goes-glm create-collection --help
Create an item with a netCDF and multiple geoparquet asset:
stac goes-glm create-item OR_GLM-L2-LCFA_G16_s20203662359400_e20210010000004_c20210010000030.nc item.json --collection collection.json
Create an item with only geoparquet assets:
stac goes-glm create-item OR_GLM-L2-LCFA_G17_s20221542100000_e20221542100200_c20221542100217.nc item.json --collection collection.json --nonetcdf TRUE
Get information about all options for item creation:
stac goes-glm create-item --help
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