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. © 2012 IEEE.
Documento: | Conferencia |
Título: | An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product |
Autor: | Bruscantini, C.A.; Grings, F.M.; Perna, P.; Karszenbaum, H.; Crow, W.T.; Jacobo, J.C.A. |
Ciudad: | Rome |
Filiación: | Grupo de Teledeteccion, Instituto de Astronomia y Fisica Del Espacio (LAFE, CONICET-UBA), Buenos Aires, Argentina Hydrology and Remote Sensing Laboratory, USDA-ARS, Beltsville, United States Departamento de Computacion, Facultad de Ciencias Exactas y Naturales (FCEN, UBA), Buenos Aires, Argentina |
Palabras clave: | Aquarius; Observing System Simulation Experiment; soil moisture; AQUARIUS; Backscatter model; Direct inversion; Error sources; High spatial resolution; Instrument noise; Land surface; Land surface models; Microwave emission models; Observing system simulation experiments; Parameter uncertainty; Quantitative error analysis; Radiative transfer model; Resamples; River basins; Root mean squared errors; Scatterometers; Sensor model; Soil moisture retrievals; Volumetric soil moistures; Backscattering; Computer simulation; Error analysis; Experiments; Meteorological instruments; Microwaves; Remote sensing; Soil moisture |
Año: | 2012 |
DOI: | http://dx.doi.org/10.1109/MicroRad.2012.6185237 |
Título revista: | 2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2012 |
Título revista abreviado: | Spec. Meet. Microw. Radiom. Remote Sens. Environ., MicroRad - Proc. |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97814673_v_n_p_Bruscantini |