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README.md 1.10 KiB

pysmm

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"

To view the package documentation and instructions for the installation go to: http://pysmm.readthedocs.io/en/latest/