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...
Guardado en:
Publicado: |
2012
|
---|---|
Materias: | |
Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS23303_v_n_p8_Perna http://hdl.handle.net/20.500.12110/paper_NIS23303_v_n_p8_Perna |
Aporte de: |
id |
paper:paper_NIS23303_v_n_p8_Perna |
---|---|
record_format |
dspace |
spelling |
paper:paper_NIS23303_v_n_p8_Perna2023-06-08T16:40:01Z An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries 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. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS23303_v_n_p8_Perna 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 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. |
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 |
publishDate |
2012 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS23303_v_n_p8_Perna http://hdl.handle.net/20.500.12110/paper_NIS23303_v_n_p8_Perna |
_version_ |
1769175833550782464 |