This is an intake data source for SpatioTemporal Asset Catalogs (STAC). The STAC specification provides a common metadata specification, API, and catalog format to describe geospatial assets, so they can more easily indexed and discovered. A 'spatiotemporal asset' is any file that represents information about the earth captured in a certain space and time.
Two examples of STAC catalogs are:
Radiant Earth keeps track of a more complete listing of STAC implementations here.
This project provides an opinionated way for users to load datasets from these catalogs into the scientific Python ecosystem. It uses the intake-xarray plugin and supports several file formats including GeoTIFF, netCDF, GRIB, and OpenDAP.
intake-stac has a few requirements, such as Intake, intake-xarray and sat-stac. Intake-stac can be installed in any of the following ways:
Using conda:
$ conda install -c conda-forge intake-stacUsing Pip:
$ pip install intake-stacOr from the source repository:
$ pip install git+https://github.com/pangeo-data/intake-stacThe examples/ directory contains some example Jupyter Notebooks that can be used to test the functionality.
To install a specific versions of intake-stac, specify the version in the install command
pip install intake-stac==0.1.0The table below shows the corresponding versions between intake-stac and STAC:
| sat-stac | STAC |
|---|---|
| 0.[1,2].x | 0.6.x |
To run the tests some additional packages need to be installed from the requirements-dev.txt file.
$ pip install -r requirements-dev.txt
$ pytest -v -s --cov intake-stac --cov-report term-missing
intake-stac was created as part of the Pangeo initiative under support from the NASA-ACCESS program. See the initial design document.