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.
Intake-STAC provides an opinionated way for users to load Assets from STAC 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 pystac. Intake-stac can be installed in any of the following ways:
We recommend installing the latest release with conda:
$ conda install -c conda-forge intake-stacOr the latest development version with pip:
$ pip install git+https://github.com/intake/intake-stacimport intake
catalog_url = 'https://www.planet.com/data/stac/catalog.json'
cat = intake.open_stac_catalog(catalog_url)
collection = cat['planet-disaster-data']
subset = collection['hurricane-harvey']['hurricane-harvey-0831']
item = subset['Houston-East-20170831-103f-100d-0f4f-RGB']
da = item['thumbnail'].to_dask()
daThe examples/ directory contains several Jupyter Notebooks illustrating common workflows.
STAC Index is a convenient website for finding datasets with STACs
To install a specific version of intake-stac, specify the version in the install command
pip install intake-stac==0.4.0The table below shows the corresponding versions between intake-stac and STAC:
| intake-stac | STAC |
|---|---|
| 0.2.x | 0.6.x |
| 0.3.x | 1.0.0-betaX |
| 0.4.x | 1.0.0 |
intake-stac was created as part of the Pangeo initiative under support from the NASA-ACCESS program. See the initial design document.