SMOS based high resolution soil moisture estimates for desert locust preventive management

SMOS level 2 Processor for Soil Moisture

High resolution soil moisture mapping

Soil moisture information is of critical importance to real-world applications such as agriculture, water resource management, flood, fire and landslide prediction, mobility, soil hydraulic parameter estimation etc. Many of these applications require soil moisture information at high resolution. While this may be estimated from land surface models, the predictions are often poor due to inadequa...

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...

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...

Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission

Microwave radiometry at low frequencies (L-band: 1.4 GHz, 21 cm) is an established technique for estimating surface soil moisture and sea surface salinity with a suitable sensitivity. However, from space, large antennas (several meters) are required to achieve an adequate spatial resolution at L-band. So as to reduce the problem of putting into orbit a large filled antenna, the possibility of u...