Downscaling SMAP Brightness Temperatures to 3 km Using CYGNSS Reflectivity Observations: Factors That Affect Spatial Heterogeneity

Evaluation of the SMAP brightness temperature downscaling algorithm using active–passive microwave observations

Downscaling of coarse-resolution radiometer brightness temperature by high-resolution radar backscatter

Given the importance of soil moisture for hydrological applications, such as weather and flood forecasting, passive microwave remote sensing is a promising approach for retrieving soil moisture due to its high sensitivity to near-surface soil moisture, applicability to all weather conditions, direct relationship with the soil dielectric constant, and reduced effects from vegetation and roughnes...

Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document (ATBD) SMAP Calibrated, Time-Ordered Brightness Temperatures L1B_TB Data Product

(Page intentionally left blank) Algorithm Theoretical Basis Documents (ATBDs) provide the physical and mathematical descriptions of the algorithms used in the generation of science data products. The ATBDs include a description of variance and uncertainty estimates and considerations of calibration and validation, exception control and diagnostics. Internal and external data flows are also desc...

Towards medium-resolution brightness temperature retrieval from active and passive microwave

Given the importance of soil moisture for hydrological applications, including weather and flood forecasting, the Soil Moisture and Ocean Salinity (SMOS) mission was launched by the European Space Agency in 2009. This first-ever dedicated global soil moisture mapping mission has a target accuracy of 0.04 v/v. The passive microwave remote sensing approach has been adopted for this mission due to...

Data Assimilation to Extract Soil Moisture Information from SMAP Observations

This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP) observations. Neural network (NN) and physically-based SMAP soil moisture retrievals were assimilated into the National Aeronautics and Space Administration (NASA) Catchment model over the contiguous United States for April 2015 to March 2017. By constructio...