Commit ec579676 authored by Greifeneder Felix's avatar Greifeneder Felix

upload documentation

parent 217c89c8
# Minimal makefile for Sphinx documentation
#
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tags: 645f666f9bcd5a90fca523b33c5a78b7
.. pysmm documentation master file, created by
sphinx-quickstart on Mon Apr 09 16:03:43 2018.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome to pysmm's documentation!
=================================
.. toctree::
:maxdepth: 2
:caption: Contents:
PYthon Sentinel-1 soil-Moisture Mapping (PYSMM)
========
This package acts as an interface to Google Earth Engine for the estimation of surface soil moisture based
on Copernicus Sentinel-1 intensity data. It is meant as a supplement to the following publication: *Greifeneder, F.,
C. Notarnicola, W. Wagner. Machine learning based mapping of high resolution, global surface soil moisture content.*
The estimation of soil moisture is based on a Support-Vector-Regression machine learning approach. The model training
was performed based on in-situ data from the International Soil Moisture Network (ISMN). PYSMM all processing steps
for spatial and temporal mapping of surface soil moisture are fully executed online on GEE - none of the input data-sets
needs to be downloaded.
Acknowledgements: This study was made possibly through funding within the Horizon 2020 project "Ecopotential: Improving
Future Ecosystem Benefits through Earth Observations"
Installation
------------
Most of the data processing is executed on-line on Google Earth Engine.
Therefore, the execution of this script requires a Google account and access to Google Earth Engine -
we are working on an updated version that will utilize a GEE Application Key rather than a personal account.</
Installation of the Google Earth Engine API
To allow the script to talk to Google Earh Engine the API has to be installed. Please follow the instructions at
this link `GEE API`
.. _GEE API: https://developers.google.com/earth-engine/python_install_manual
Installation of the Google Drive API
After the computation inside Google Earth Engine is finished, the results are exported to your Google Drive.
To let the script access and download the results to you local computer,
the Google Drive API has to be installed as well. Please follow the instructions here: `Google Drive API`
.. _Google Drive API: https://developers.google.com/drive/v3/web/quickstart/python
As described in the manual, for the first run, the authentication can be initiated by running the
``quickstart.py`` script. To enable the download of data please modify the following line of the script
**SCOPES = 'https://www.googleapis.com/auth/drive.metadata.readonly' --> SCOPES = 'https://www.googleapis.com/auth/drive'**
Install $project by running:
``python setup.py install``
Contribute
----------
*Issue Tracker: https://gitlab.inf.unibz.it/Felix.Greifeneder/$project/$project/issues
*Source Code: https://gitlab.inf.unibz.it/Felix.Greifeneder/$project
Support
-------
If you are having issues, please let us know.
Mail to: felix.greifeneder@eurac.edu
License
-------
The project is licensed under the GNU GENERAL PUBLIC LICENSE Version 3
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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