Synthetic aperture radar (SAR) remote sensing is based on an increasing number and diversity of sensor types. We aim to establish higher level products with geophysical retrievals more understandable to users than raw radar backscatter values. SAR sensors are more reliable than their optical counterparts for monitoring applications, as they can operate at night and see through clouds. We develop tools to maximise the utility of available observations, enabling monitoring applications through the analysis of time-series, e.g. for monitoring seasonal melting of snow.