Evaluation of the predicted error of the soil moisture retrieval from C-band SAR by
This paper is organised as follows. The theory, methodology and
data sections introduce the models used for the RMSE and R computation,
processing steps and the data. The discussion and result sections
present: a) an evaluation of the correlation between the
satellite (ASAR GM) and modelled (AWRA-L) soil moisture datasets
to determine if these capture the same processes; and b) an assessment
of the ASAR GM error estimate using the models for the RMSE
and R prediction. The implications for a possible future Sentinel-1
soil moisture product are also discussed. Conclusions and future recommendations
are summarized in the final section.