{
    "info": {
        "author": "TU Wien",
        "author_email": "remote.sensing@geo.tuwien.ac.at",
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        "description": "====\nSMOS\n====\n\n.. image:: https://travis-ci.org/TUW-GEO/smos.svg?branch=master\n    :target: https://travis-ci.org/TUW-GEO/smos \n\n.. image:: https://coveralls.io/repos/github/TUW-GEO/smos/badge.svg?branch=master\n    :target: https://coveralls.io/github/TUW-GEO/smos?branch=master \n\n.. image:: https://badge.fury.io/py/smos.svg\n    :target: http://badge.fury.io/py/smos \n\n.. image:: https://readthedocs.org/projects/smos/badge/?version=latest\n   :target: http://smos.readthedocs.org/ \n\n\nSMOS (Soil Moisture and Ocean Salinity) data readers and time series coverter.\n\nWorks great in combination with `pytesmo <https://github.com/TUW-GEO/pytesmo>`_.\n\n\nInstallation\n============\n\nSetup of a complete environment with `conda\n<http://conda.pydata.org/miniconda.html>`_ can be performed using the following\ncommands:\n\n.. code-block:: shell\n\n  conda create -q -n smos -c conda-forge numpy netcdf4 pyresample scipy pandas\n  source activate smos\n  pip install smos\n\nYou can also install all needed (conda and pip) dependencies at once using the\nfollowing commands after cloning this repository.  This is recommended for\ndevelopers of the package.\n\n.. code-block:: shell\n\n  git clone https://github.com/TUW-GEO/smos.git --recursive\n  cd smos\n  conda create -n smos python=2.7 # or any supported python version\n  source activate smos\n  conda update -f environment.yml\n  python setup.py develop\n\nSupported Products\n==================\n\n- `SMOS IC <https://www.catds.fr/Products/Available-products-from-CEC-SM/SMOS-IC>`_: SMOS INRA-CESBIO (SMOS-IC) 25km\n\n\nSoftware Citation\n=================\n\n\nContribute\n==========\n\nWe are happy if you want to contribute. Please raise an issue explaining what\nis missing or if you find a bug. We will also gladly accept pull requests\nagainst our master branch for new features or bug fixes.\n\n\nGuidelines\n----------\n\nIf you want to contribute please follow these steps:\n\n- Fork the smos repository to your account\n- make a new feature branch from the smos master branch\n- Add your feature\n- please include tests for your contributions in one of the test directories\n  We use py.test so a simple function called test_my_feature is enough\n- submit a pull request to our master branch",
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