SMOS prototype algorithm for detecting autumn soil freezing

SMOS level 2 Processor for Soil Moisture

Algorithm Theoretical Basis Document ( ATBD ) for the SMOS Level 2 Soil Moisture Processor Development Continuation Project

Smos Smap Synergisms for the Retrieval of Soil Moisture

It is clear there is a dire need of both soil moisture measurements and sea surface salinity retrievals as they are key parameters of the Earth system. To access them in a global and reliable fashion it seems that – even if complemented by other measurements, L-band radiometry is currently the best choice. The advantages are linked to an optimal trade off between high sensitivity to soil moistu...

SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product

The main goal of the Soil Moisture and Ocean Salinity (SMOS) mission over land surfaces is the production of global maps of soil moisture (SM) and vegetation optical depth (τ) based on multi-angular brightness temperature (TB) measurements at L-band. The operational SMOS Level 2 and Level 3 soil moisture algorithms account for different surface effects, such as vegetation opacity and soil rough...

A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval Ensembles

Bias correction is a very important pre-processing step in satellite data assimilation analysis, as data assimilation itself cannot circumvent satellite biases. We introduce a retrieval algorithm-specific and spatially heterogeneous Instantaneous Field of View (IFOV) bias correction method for Soil Moisture and Ocean Salinity (SMOS) soil moisture. To the best of our knowledge, this is the first...