# Intake-STAC ![CI](https://github.com/intake/intake-stac/workflows/CI/badge.svg) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/intake/intake-stac/binder?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252Fintake%252Fintake-stac%26urlpath%3Dlab%252Ftree%252Fintake-stac%252Fexamples%26branch%3Dmain) [![PyPI version](https://badge.fury.io/py/intake-stac.svg)](https://badge.fury.io/py/intake-stac) [![Documentation Status](https://readthedocs.org/projects/intake-stac/badge/?version=latest)](https://intake-stac.readthedocs.io/en/latest/?badge=latest) [![codecov](https://codecov.io/gh/intake/intake-stac/branch/main/graph/badge.svg?token=8VQEcrFJz9)](https://codecov.io/gh/intake/intake-stac) This is an [Intake](https://intake.readthedocs.io/en/latest) data source for [SpatioTemporal Asset Catalogs (STAC)](https://stacspec.org/). 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](https://github.com/intake/intake-xarray) plugin and supports several file formats including GeoTIFF, netCDF, GRIB, and OpenDAP. ## Installation Intake-STAC has a few [requirements](requirements.txt), such as [Intake](https://intake.readthedocs.io), [intake-xarray](https://intake-xarray.readthedocs.io/) and [pystac](https://github.com/stac-utils/pystac). Intake-stac can be installed in any of the following ways: We recommend installing the latest release with `conda`: ```bash $ conda install -c conda-forge intake-stac ``` Or the latest development version with `pip`: ```bash $ pip install git+https://github.com/intake/intake-stac ``` ## Quickstart ```python import 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() da ``` The [examples/](examples/) directory contains several Jupyter Notebooks illustrating common workflows. [STAC Index](https://stacindex.org/catalogs) is a convenient website for finding datasets with STACs #### Versions To install a specific version of intake-stac, specify the version in the install command ```bash pip install intake-stac==0.4.0 ``` The 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 | ## About [intake-stac](https://github.com/intake/intake-stac) was created as part of the [Pangeo](http://pangeo.io) initiative under support from the NASA-ACCESS program. See the initial [design document](https://hackmd.io/cyJZkjV5TCWTJg1mUAoEVA).