stactools-goes-glm

stactools package for the Geostationary Lightning Mapper (GLM) on the GOES-16/R, GOES-17/S, and GOES-18/T satellites.


Keywords
stactools, goes, glm, lightning, STAC
License
Apache-2.0
Install
pip install stactools-goes-glm==0.2.3

Documentation

stactools-goes-glm

PyPI

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.

STAC Examples

Installation

pip install stactools-goes-glm

Command-line Usage

Use stac goes-glm --help to see all subcommands and options.

Collection

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

Item

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

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