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

Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document SMAP L2 & L3 Radar Soil Moisture (Active) Data Products

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...

Towards a Medium Resolution Brightness Temperature Product from Active and Passive Microwave Observations

Global measurements of soil moisture are vital to understanding the global water, energy and carbon cycles. An accurate estimation of soil moisture at a spatial resolution of better than 10km will benefit the future development of regional water resource applications, such as weather forecasting, flood prediction and agricultural activities. Therefore the objective of NASA’s Soil Moisture Activ...

A Change Detection Algorithm for Retrieving High-resolution Surface Soil Moisture from Smap L-band Radar and Radiometer Observations

Soil moisture is a critical hydrological variable that links the terrestrial water, energy and carbon cycles. Global and regional observations of soil moisture are needed to estimate the water and energy fluxes at the land surface, to quantify the net carbon flux in boreal landscapes, to enhance weather and climate forecast skill and to develop improved flood prediction and drought monitoring c...

Soil Moisture Active Passive (SMAP) Algorithm Theoretical Basis Document

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 described. The SMAP ATBDs were revie...