smos 0.1

SMOS (Soil Moisture and Ocean Salinity) image data readers and TS converter

SMOS (Soil Moisture and Ocean Salinity) data readers and time series coverter.

Works great in combination with pytesmo.

Installation

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

conda create -q -n smos -c conda-forge numpy netcdf4 pyresample scipy pandas
source activate smos
pip install smos

You can also install all needed (conda and pip) dependencies at once using the following commands after cloning this repository. This is recommended for developers of the package.

git clone https://github.com/TUW-GEO/smos.git --recursive
cd smos
conda create -n smos python=2.7 # or any supported python version
source activate smos
conda update -f environment.yml
python setup.py develop

Supported Products

• SMOS IC: SMOS INRA-CESBIO (SMOS-IC) 25km

Software Citation

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 smos repository to your account

• make a new feature branch from the smos 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