An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product

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...

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Autor principal: Bruscantini, C.A
Otros Autores: Grings, Francisco Matías, Perna, P., Karszenbaum, H., Crow, W.T, Jacobo, J.C.A
Formato: Acta de conferencia Capítulo de libro
Lenguaje:Inglés
Publicado: 2012
Acceso en línea:Registro en Scopus
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Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
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100 1 |a Bruscantini, C.A. 
245 1 3 |a An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product 
260 |c 2012 
270 1 0 |m Bruscantini, C.A.; Grupo de Teledeteccion, Instituto de Astronomia y Fisica Del Espacio (LAFE, CONICET-UBA), Buenos Aires, Argentina; email: cintiab@iafe.uba.ar 
504 |a Dubois, P.C., Van Zyl, J., Engman, T., Measuring soil moisture with imaging radars (1995) Geoscience and Remote Sensing, IEEE Transactions on, 33 (4), pp. 915-926. , Jul 
504 |a (2009) Andrea Monti Guarnieri, , 27 Jul 
504 |a Zhan, X., Crow, W.T., Jackson, T.J., O'Neill, P.E., Improving spaceborne radiometer soil moisture retrievals with alternative aggregation rules for ancillary parameters in highly heterogeneous vegetated areas (2008) Geoscience and Remote Sensing Letters, IEEE, 5 (2), pp. 261-265. , April 
504 |a Crow, W.T., Chan, S.T.K., Entekhabi, D., Houser, P.R., Hsu, A.Y., Jackson, T.J., Njoku, E.G., Zhan, X., An observing system simulation experiment for hydros radiometeronly soil moisture products (2005) Geoscience and Remote Sensing, IEEE Transactions on, 43 (6), pp. 1289-1303. , June 
504 |a Yang, D., Ulaby, F.T., Dobson, M.C., Sensitivity to soil moisture by active and passive microwave sensors (1999) Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International, 4, pp. 1905-1907. , vol.4 
506 |2 openaire  |e Política editorial 
520 3 |a 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.  |l eng 
593 |a Grupo de Teledeteccion, Instituto de Astronomia y Fisica Del Espacio (LAFE, CONICET-UBA), Buenos Aires, Argentina 
593 |a Hydrology and Remote Sensing Laboratory, USDA-ARS, Beltsville, United States 
593 |a Departamento de Computacion, Facultad de Ciencias Exactas y Naturales (FCEN, UBA), Buenos Aires, Argentina 
690 1 0 |a AQUARIUS 
690 1 0 |a OBSERVING SYSTEM SIMULATION EXPERIMENT 
690 1 0 |a SOIL MOISTURE 
690 1 0 |a AQUARIUS 
690 1 0 |a BACKSCATTER MODEL 
690 1 0 |a DIRECT INVERSION 
690 1 0 |a ERROR SOURCES 
690 1 0 |a HIGH SPATIAL RESOLUTION 
690 1 0 |a INSTRUMENT NOISE 
690 1 0 |a LAND SURFACE 
690 1 0 |a LAND SURFACE MODELS 
690 1 0 |a MICROWAVE EMISSION MODELS 
690 1 0 |a OBSERVING SYSTEM SIMULATION EXPERIMENTS 
690 1 0 |a PARAMETER UNCERTAINTY 
690 1 0 |a QUANTITATIVE ERROR ANALYSIS 
690 1 0 |a RADIATIVE TRANSFER MODEL 
690 1 0 |a RESAMPLES 
690 1 0 |a RIVER BASINS 
690 1 0 |a ROOT MEAN SQUARED ERRORS 
690 1 0 |a SCATTEROMETERS 
690 1 0 |a SENSOR MODEL 
690 1 0 |a SOIL MOISTURE RETRIEVALS 
690 1 0 |a VOLUMETRIC SOIL MOISTURES 
690 1 0 |a BACKSCATTERING 
690 1 0 |a COMPUTER SIMULATION 
690 1 0 |a ERROR ANALYSIS 
690 1 0 |a EXPERIMENTS 
690 1 0 |a METEOROLOGICAL INSTRUMENTS 
690 1 0 |a MICROWAVES 
690 1 0 |a REMOTE SENSING 
690 1 0 |a SOIL MOISTURE 
700 1 |a Grings, Francisco Matías 
700 1 |a Perna, P. 
700 1 |a Karszenbaum, H. 
700 1 |a Crow, W.T. 
700 1 |a Jacobo, J.C.A. 
711 2 |c Rome  |d 5 March 2012 through 9 March 2012  |g Código de la conferencia: 89676 
773 0 |d 2012  |p Spec. Meet. Microw. Radiom. Remote Sens. Environ., MicroRad - Proc.  |n 2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2012 - Proceedings  |z 9781467314701  |t 2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment, MicroRad 2012 
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856 4 0 |u https://doi.org/10.1109/MicroRad.2012.6185237  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_97814673_v_n_p_Bruscantini  |y Handle 
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