Metadata-Version: 2.1
Name: crl_datacube
Version: 0.1.19
Summary: Utilities for scaling geospatial analyses
Author-email: Chris Lowrie <chlowrie@ucsc.edu>
Keywords: example,tutorial
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: aiohttp
Requires-Dist: numpy
Requires-Dist: google-cloud-storage
Requires-Dist: geopandas
Requires-Dist: pyarrow
Requires-Dist: zarr
Requires-Dist: odc-geo
Requires-Dist: datacube[postgres]
Requires-Dist: odc-algo
Requires-Dist: pytest-asyncio
Requires-Dist: joblib
Requires-Dist: xarray
Requires-Dist: rioxarray
Requires-Dist: gdal

# Create a Datacube for scaling geospatial analyses

See the examples directory and DataCube class for more information on the API.  

Modified from a [tutorial](https://earthmover.io/blog/serverless-datacube-pipeline) by Ryan Abernathy and the Earthmover team.

## Running
This package is intended to be distributed via pip, or with the attached Dockerfile.  It may need some updating to handle volume mounts for data, which can be done in the Makefile.  And I had some trouble publishing to PyPI from my local Mac M1, but it has been running fine on Linux.  

