Commit cb827ea1 authored by Greifeneder Felix's avatar Greifeneder Felix

Update index.rst

parent 1ee55da6
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......@@ -13,9 +13,7 @@ PYthon Sentinel-1 soil-Moisture Mapping Toolbox (PYSMM)
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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
on Copernicus Sentinel-1 intensity data. 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.
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