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.
Documento: | Conferencia |
Título: | An Observing System Simulation Experiment (OSSE) for the Aquarius/SAC-D soil moisture product: An investigation of forward/retrieval model asymmetries |
Autor: | Perna, P.; Bruscantini, C.; Ferrazzoli, P.; Grings, F.; Karszenbaum, H.; Crow, W. |
Ciudad: | Munich |
Filiación: | Instituto de Astronomía y Física Del Espacio (IAFE), Ciudad Universitaria Pabellón IAFE, Buenos Aires, Argentina Tor Vergata University, Ingegneria - DISP, Via del Politecnico 1, 00133 Roma, Italy Hydrology and Remote Sensing Laboratory, U.S. Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, United States |
Palabras clave: | 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 |
Año: | 2012 |
Página de inicio: | 8 |
Página de fin: | 11 |
DOI: | http://dx.doi.org/10.1109/IGARSS.2012.6350895 |
Título revista: | 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 |
Título revista abreviado: | Dig Int Geosci Remote Sens Symp (IGARSS) |
CODEN: | IGRSE |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS23303_v_n_p8_Perna |