Title :
An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product
Author :
Bruscantini, C.A. ; Grings, F.M. ; Perna, P. ; Karszenbaum, H. ; Crow, W.T. ; Jacobo, J.C.A.
Author_Institution :
Grupo de Teledeteccion, Inst. de Astron. y Fis. del Espacio (IAFE, Buenos Aires, Argentina
Abstract :
An Observing System Simulation Experiment for the Aquarius/SAC-D mission is being developed for assessing the accuracy of soil moisture retrieval from passive and active L-band remote sensing. The implementation of the OSSE is based on: a 1-km land surface model over the Red-Arkansas River Basin, a backscatter model and a forward microwave emission model to simulate the radiometer and scatterometer observations, a realistic orbital and sensor model to resample the measurements, and an inverse soil moisture retrieval model. The simulation implements zero-order radiative transfer model for emission and Dubois model for backscattering. Retrieval is done by direct inversion. The Aquarius OSSE attempts to capture the influence of different error sources: land surface heterogeneity, instrument noise and retrieval ancillary parameter uncertainty. In order to assess the impact of these error sources on the estimated volumetric soil moisture, a quantitative error analysis is performed through the comparison between of footprint-scale synthetic soil moisture product and high spatial resolution degraded at coarse resolution `true´ soil moisture product. The root mean squared errors are evaluated for all the conditions.
Keywords :
error analysis; hydrological techniques; indeterminancy; inverse problems; radiative transfer; radiometry; remote sensing; rivers; soil; Aquarius/SAC-D; Dubois model; L-band remote sensing; Red-Arkansas River Basin; USA; backscatter model; forward microwave emission model; instrument noise; inverse soil moisture retrieval model; land surface heterogeneity; land surface model; observing system simulation experiment; quantitative error analysis; radiometer; retrieval ancillary parameter uncertainty; scatterometer; synthetic soil moisture product; zero-order radiative transfer model; Interpolation; Laboratories; Moisture; Moisture measurement; Radar measurements; Radiometry; Aquarius; Observing System Simulation Experiment; soil moisture;
Conference_Titel :
Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2012 12th Specialist Meeting on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1468-8
DOI :
10.1109/MicroRad.2012.6185237