Commit 217c89c8 authored by Greifeneder Felix's avatar Greifeneder Felix

readme updates

parent 703e04bc
......@@ -7,11 +7,14 @@ C. Notarnicola, W. Wagner. Machine learning based mapping of high resolution, gl
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.
needs to be downloaded.</p>
<p>
Acknowledgements: This study was made possibly through funding within the Horizon 2020 project "Ecopotential: Improving
Future Ecosystem Benefits through Earth Observations"
</p>
<p>
Please follow the installation instructions below:
</p>
......
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