`cedar` - Create Earth engine Data cubes of Analytical Readiness
July 19, 2019 ยท View on GitHub
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cedar - Create Earth engine Data cubes of Analytical Readiness
cedar is a library and application to help download and preprocess satellite data to be "analysis ready data" (ARD) "data cube" as quickly as possible. cedar has been designed primarily to preprocess Landsat data, and can help acquire data from the Google Earth Engine (GEE). It is based on tools within the Python ecosystem for geospatial data processing (rasterio_), saving and working with N-dimensional data (netCDF4_ and xarray_), and parallelization (dask_ and distributed_).
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| Branch | Tests | Coverage | Docs |
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| master | |ci_master| | |cov_master| | |doc_master| |
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.. |ci_master| image:: https://travis-ci.com/ceholden/cedar-datacube.svg?token=fpEUL8V3obFi2DonCumW&branch=master :target: https://travis-ci.com/ceholden/cedar-datacube :alt: Continuous integration test status
.. |cov_master| image:: https://ceholden.github.io/cedar-datacube/master/coverage_badge.svg :target: https://ceholden.github.io/cedar-datacube/master/coverage/index.html :alt: Test coverage
.. |doc_master| image:: https://travis-ci.com/ceholden/cedar-datacube.svg?token=fpEUL8V3obFi2DonCumW&branch=master :target: https://ceholden.github.io/cedar-datacube/master/ :alt: Documentation
.. _rasterio: https://rasterio.readthedocs.io .. _xarray: http://xarray.pydata.org .. _dask: http://docs.dask.org/en/latest/ .. _distributed: http://distributed.dask.org/en/latest/ .. _netCDF4: http://unidata.github.io/netcdf4-python/