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https://github.com/TUW-GEO/pytesmo

python Toolbox for the Evaluation of Soil Moisture Observations
https://github.com/TUW-GEO/pytesmo

earth-science python remote-sensing soil-moisture validation

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python Toolbox for the Evaluation of Soil Moisture Observations

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README 

        
pytesmo - a Python Toolbox for the Evaluation of Soil Moisture Observations

***************************************************************************



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pytesmo, the Python Toolbox for the Evaluation of Soil Moisture Observations, is

a package/python toolbox which aims to provide a library that can be used for

the comparison and validation of geospatial time series datasets with a

(initial) focus on soil moisture.



Documentation & Software Citation

=================================



.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.596422.svg

   :target: https://doi.org/10.5281/zenodo.596422



To see the latest `full documentation `_

click on the docs badge at the top.



If you use the software in a publication then please cite it using the Zenodo

DOI.  Be aware that this badge links to the latest package version.



Please select your specific version at https://doi.org/10.5281/zenodo.596422 to

get the DOI of that version.  You should normally always use the DOI for the

specific version of your record in citations.  This is to ensure that other

researchers can access the exact research artefact you used for

reproducibility.



You can find additional information regarding DOI versioning at

http://help.zenodo.org/#versioning



If you want to contribute, take a look at the `developers guide

`_ .



Installation

============



This package should be installable through `pip

`__ which downloads the package

from the `python package repository Pypi `__.

However, pytesmo also needs some packages that depend on C or Fortran libraries (like ``netCDF4``).

They should be installed first with conda or mamba. We recommend installing `Mambaforge `__.

Then the following command should install all dependencies:



.. code-block:: bash



    mamba install -c conda-forge 'numpy<2.0.0' scipy pandas netCDF4 cython pyresample



Afterwards ``pytesmo`` can be installed via pip.



.. code-block:: bash



    pip install pytesmo



As an alternative (e.g. if you want to contribute to the package), you can

clone the Github repository and install from source:



.. code::



    git clone https://github.com/TUW-GEO/pytesmo.git --recursive

    cd pytesmo

    mamba create -n pytesmo python=3.10 # or any supported python version

    conda activate pytesmo

    mamba env update -f environment.yml -n pytesmo

    pip install -e .



Supported Products

==================



Soil moisture is observed using different methods and instruments, in this

version several satellite datasets as well as in situ and reanalysis data are supported

through independent and optional (reader) packages:



- `ERS & H-SAF ASCAT products `_

- `SMAP `_

- `GLDAS Noah `_

- `ERA5 and ERA5-Land `_

- `SMOS `_

- `C3S SM `_

- `ESA CCI SM `_

- `MERRA `_

- `Data from the International Soil Moisture Network (ISMN) `_

    In case of the ISMN, two different formats are provided:

    An example of how to use the dataset in the pytesmo validation framework can be

    found in the "Examples" chapter.

    * Variables stored in separate files (CEOP formatted)



Related Packages

================



Some former pytesmo modules are now provided as separate packages.



- `pygeogrids `_ : Creation and handling of Discrete Global Grids or Point collections

- `cadati `_ : Calender, Date and Time functions

- `repurpose `_ : Time series - image conversion and resampling routines

- `colorella `_ : Color maps and color map handling



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.



Please follow the `developers guide

`_.