Triple Collocation – a New Tool to Determine the Error Structure of Global Soil Moisture Products

Estimation of the temporal autocorrelation structure by the collocation technique with an emphasis on soil moisture studies

The collocation technique has become a popular tool in oceanography and hydrology for estimating the error variances of different data sources such as in situ sensors, models and remote sensing products. It is also possible to determine calibration constants, for example to account for an off-set between the data sources. So far, the temporal autocorrelation structure of the errors has not been...

Error characterisation of global active and passive microwave soil moisture datasets

Understanding the error structures of remotely sensed soil moisture observations is essential for correctly interpreting observed variations and trends in the data or assimilating them in hydrological or numerical weather prediction models. Nevertheless, a spatially coherent assessment of the quality of the various globally available datasets is often hampered by the limited availability over s...

Validation Analysis of SMAP and AMSR2 Soil Moisture Products over the United States Using Ground-Based Measurements

Soil moisture products acquired from passive satellite missions have been widely applied in environmental processes. A primary challenge for the use of soil moisture products from passive sensors is their reliability. It is crucial to evaluate the reliability of those products before they can be routinely used at a global scale. In this paper, we evaluated the Soil Moisture Active/Passive (SMAP...

H-SAF Visiting Scientist Program HSAF_CDOP2_VS12_02 Root-zone soil moisture index complementary validation at global scale based on triple collocation method. Comparison with State-Of- The-Art global scale root-zone soil moisture products

First Assessment of the Advanced Microwave Scanning Radiometer 2 (AMSR2) Soil Moisture Contents in Northeast Asia

The Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the Global Change Observation Mission 1–Water (GCOM-W1) was launched by the Japan Aerospace Exploration Agency (JAXA) in May 2012. The AMSR2 is the follow-on model of the AMSR-Earth Observing System (AMSR-E) onboard the Aqua satellite. An assessment of the reliability of the soil moisture estimations from the newly launched passive se...