An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries

An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission has been developed for assessing the accuracy of soil moisture retrieval from passive and active L band. So far, this OSSE has been successfully exploited to study the artifacts in the retrieved soil moisture associated...

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Autores principales: Perna, P., Bruscantini, C., Ferrazzoli, P., Grings, F., Karszenbaum, H., Crow, W.
Formato: CONF
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_NIS23303_v_n_p8_Perna
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spelling todo:paper_NIS23303_v_n_p8_Perna2023-10-03T16:46:21Z An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries Perna, P. Bruscantini, C. Ferrazzoli, P. Grings, F. Karszenbaum, H. Crow, W. Aquarius OSSE radiative transfer soil moisture theoretical model AQUARIUS Canopy structure Dense vegetation Electromagnetic modeling Forward models Instrumental noise Land cover Land-cover types Observing system simulation experiments OSSE Radiative transfer theory Retrieval models Scattering property Soil moisture estimation Soil moisture retrievals Theoretical approach Theoretical models Wet conditions Computer simulation Experiments Geology Radiative transfer Remote sensing Vegetation Soil moisture An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission has been developed for assessing the accuracy of soil moisture retrieval from passive and active L band. So far, this OSSE has been successfully exploited to study the artifacts in the retrieved soil moisture associated to: (1) uncertainties and aggregation of the ancillary parameters needed for the retrieval and (2) instrumental noise effects. However, effects due to forward and retrieval model incompatibilities have not yet been studied. In this paper, OSSE attempts to capture the influence of this effect over estimated soil moisture. The emissivity of real surfaces is very complex and is strongly dependent on land cover type and condition. In particular, surface covered by average to dense vegetation presents complex scattering properties, heavily related to canopy structure. The OSSE implements a forward model using a theoretical approach based on the electromagnetic modeling of vegetation elements and high order radiative transfer theory. In this way, the difficulties related to retrieving soil moisture from passive data with a simple model are studied. The accuracy of the soil moisture estimation is analyzed on a set of selected footprints in order to illustrate the impact of discrepancies between both models. In general, retrieved soil moisture performs worse over dense vegetated areas and under wet conditions. Furthermore, accuracy is highly dependent on land cover. © 2012 IEEE. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_NIS23303_v_n_p8_Perna
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Aquarius
OSSE
radiative transfer
soil moisture
theoretical model
AQUARIUS
Canopy structure
Dense vegetation
Electromagnetic modeling
Forward models
Instrumental noise
Land cover
Land-cover types
Observing system simulation experiments
OSSE
Radiative transfer theory
Retrieval models
Scattering property
Soil moisture estimation
Soil moisture retrievals
Theoretical approach
Theoretical models
Wet conditions
Computer simulation
Experiments
Geology
Radiative transfer
Remote sensing
Vegetation
Soil moisture
spellingShingle Aquarius
OSSE
radiative transfer
soil moisture
theoretical model
AQUARIUS
Canopy structure
Dense vegetation
Electromagnetic modeling
Forward models
Instrumental noise
Land cover
Land-cover types
Observing system simulation experiments
OSSE
Radiative transfer theory
Retrieval models
Scattering property
Soil moisture estimation
Soil moisture retrievals
Theoretical approach
Theoretical models
Wet conditions
Computer simulation
Experiments
Geology
Radiative transfer
Remote sensing
Vegetation
Soil moisture
Perna, P.
Bruscantini, C.
Ferrazzoli, P.
Grings, F.
Karszenbaum, H.
Crow, W.
An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries
topic_facet Aquarius
OSSE
radiative transfer
soil moisture
theoretical model
AQUARIUS
Canopy structure
Dense vegetation
Electromagnetic modeling
Forward models
Instrumental noise
Land cover
Land-cover types
Observing system simulation experiments
OSSE
Radiative transfer theory
Retrieval models
Scattering property
Soil moisture estimation
Soil moisture retrievals
Theoretical approach
Theoretical models
Wet conditions
Computer simulation
Experiments
Geology
Radiative transfer
Remote sensing
Vegetation
Soil moisture
description An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D mission has been developed for assessing the accuracy of soil moisture retrieval from passive and active L band. So far, this OSSE has been successfully exploited to study the artifacts in the retrieved soil moisture associated to: (1) uncertainties and aggregation of the ancillary parameters needed for the retrieval and (2) instrumental noise effects. However, effects due to forward and retrieval model incompatibilities have not yet been studied. In this paper, OSSE attempts to capture the influence of this effect over estimated soil moisture. The emissivity of real surfaces is very complex and is strongly dependent on land cover type and condition. In particular, surface covered by average to dense vegetation presents complex scattering properties, heavily related to canopy structure. The OSSE implements a forward model using a theoretical approach based on the electromagnetic modeling of vegetation elements and high order radiative transfer theory. In this way, the difficulties related to retrieving soil moisture from passive data with a simple model are studied. The accuracy of the soil moisture estimation is analyzed on a set of selected footprints in order to illustrate the impact of discrepancies between both models. In general, retrieved soil moisture performs worse over dense vegetated areas and under wet conditions. Furthermore, accuracy is highly dependent on land cover. © 2012 IEEE.
format CONF
author Perna, P.
Bruscantini, C.
Ferrazzoli, P.
Grings, F.
Karszenbaum, H.
Crow, W.
author_facet Perna, P.
Bruscantini, C.
Ferrazzoli, P.
Grings, F.
Karszenbaum, H.
Crow, W.
author_sort Perna, P.
title An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries
title_short An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries
title_full An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries
title_fullStr An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries
title_full_unstemmed An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries
title_sort observing system simulation experiment (osse) for the aquarius/sac-d soil moisture product: an investigation of forward/retrieval model asymmetries
url http://hdl.handle.net/20.500.12110/paper_NIS23303_v_n_p8_Perna
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