Description: H25-H108-H109-H111-H112-H113-H114
Surface Soil Moisture Metop ASCAT Data Record Time Series

  • H25 Metop ASCAT DR2015 SSM 12.5 km sampling
  • H108 Metop ASCAT DR2015 EXT SSM 12.5 km sampling
  • H109 Metop ASCAT DR2016 SSM 12.5 km sampling
  • H111 Metop ASCAT DR2017 SSM time series 12.5 km sampling
  • H112 Metop ASCAT DR2017 EXT SSM time series 12.5 km sampling
  • H113 Metop ASCAT DT2018 SSM time series 12.5 Km sampling
  • H114 Metop ASCAT DR2018 EXT time series 12.5 Km

The soil moisture product represents the water content in the upper soil layer (< 2 cm) in relative units between totally dry conditions (0%) and total water capacity (100%). The time series are available on a discrete global grid (DGG) with a spatial resolution of 25 km (grid spacing 12.5 km). The temporal sampling rate is irregular (every 1-2 days) and depends on the latitude. Each surface soil moisture estimate has an associated noise value, indicating the uncertainty. The soil moisture product has not been pre-filtered, meaning that a masking of invalid measurements (e.g. frozen ground, snow cover) by the user is highly recommended before further processing.


The surface soil moisture data are retrieved from the radar backscattering coefficients measured by the ASCAT (Advanced scatterometer) instrument on board the MetOp-A satellite using a change detection method, developed at the Research Group Remote Sensing, Department of Geodesy and Geoinformation (GEO), Vienna University of Technology (TU Wien). In the TU Wien model, long-term scatterometer data are used to model the incidence angle dependency of the radar backscattering signal. Knowing the incidence angle dependency, the backscattering coefficients are normalised to a reference incidence angle (40°). Finally, the relative soil moisture data ranging between 0% and 100% are derived by scaling the normalised backscattering coefficients between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions.