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Readers and converters for ESA CCI Soil Moisture image and time series data. Written in Python.
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README.rst

esa_cci_sm

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Reading and reshuffling of CCI soil moisture Written in Python.

Installation

Installing the package can be done via pip:

pip install esa_cci_sm

Setup of a complete development environment with conda can be performed using the following commands:

git clone git@github.com:TUW-GEO/esa_cci_sm.git esa_cci_sm
cd esa_cci_sm
conda env create -f environment.yml
source activate esa_cci_sm

Supported Products

At the moment this package supports ESA CCI soil moisture data version v02.x and v03.x and v04.x in netCDF format (reading and time series creation) with a spatial sampling of 0.25 degrees.

Contribute

We are happy if you want to contribute. Please raise an issue explaining what is missing or if you find a bug. We will also gladly accept pull requests against our master branch for new features or bug fixes.

Guidelines

If you want to contribute please follow these steps:

  • Fork the esa_cci_sm repository to your account
  • Clone the repository, make sure you use git clone --recursive to also get the test data repository.
  • make a new feature branch from the esa_cci_sm master branch
  • Add your feature
  • Please include tests for your contributions in one of the test directories. We use py.test so a simple function called test_my_feature is enough
  • submit a pull request to our master branch

Note

This project has been set up using PyScaffold 2.5. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.

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