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Evaluating the L-MEB Model From Long-Term Microwave Measurements Over a Rough Field, SMOSREX 2006
Mialon A., Wigneron J.-P., De Rosnay P., Escorihuela M.-J., Kerr Y.H.
IEEE Transactions on Geoscience and Remote Sensing vol.50, no.5 (2012) pp.1458-1467 - http://hal.archives-ouvertes.fr/hal-00690897
Articles dans des revues avec comité de lecture
Planète et Univers/Interfaces continentales, environnement
Sciences de l'environnement/Milieux et Changements globaux
Evaluating the L-MEB Model From Long-Term Microwave Measurements Over a Rough Field, SMOSREX 2006
Arnaud Mialon () 1, Jean-Pierre Wigneron () 2, Patricia De Rosnay () 1, 3, Maria-José Escorihuela () 1, Y.H. Kerr () 1
1 :  Centre d'études spatiales de la biosphère (CESBIO)
http://www.cesbio.ups-tlse.fr
CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
bpi 2801 18 Av Edouard Belin 31401 TOULOUSE CEDEX 4
France
2 :  Écologie fonctionnelle et physique de l'environnement (EPHYSE - UR1263)
Institut national de la recherche agronomique (INRA) : UR1263
Service Forêt-Bois, Unité EPHYSE 33612 Cestas Cedex
France
3 :  European Centre for Medium Range Weather Forecast (ECMWF)
http://www.ecmwf.int
ECMWF
Shinfield Park RG1 9AX Reading
Royaume-Uni
isardSAT-Barcelona
The present paper analyzes the effects of roughness on the surface emission at L-band based on observations acquired during a long-term experiment. At the Surface Monitoring of the Soil Reservoir Experiment site near Toulouse, France, a bare soil was plowed and monitored over more than a year by means of an L-band radiometer, profile soil moisture and temperature sensors, and a local weather station, accompanied by 12 roughness campaigns. The aims of this paper are the following: 1) to present this unique database and 2) to use this data set to investigate the semiempirical parameters for the roughness in L-band Microwave Emission of the Biosphere, which is the forward model used in the Soil Moisture and Ocean Salinity soil moisture retrieval algorithm. In particular, we studied the link between these semiempirical parameters and the soil roughness characteristics expressed in terms of standard deviation of surface height $(sigma)$ and the correlation length (LC). The data set verifies that roughness effects decrease the sensitivity of surface emission to soil moisture, an effect which is most pronounced at high incidence angles and soil moisture and at horizontal polarization. Contradictory to previous studies, the semiempirical parameter Qr was not found to be equal to 0 for rough conditions. A linear relationship between the semiempirical parameters $N$ and $sigma$ was established, while $N_{H}$ and $N_{V}$ appeared to be lower for a rough ($N_{H} sim 0.59$ and $N_{V} sim -0.3$) than for a quasi-smooth - urface. This paper reveals the complexity of roughness effects and demonstrates the great value of a sound long-term data set of rough L-band surface emissions to improve our understanding on the matter
Anglais

IEEE Transactions on Geoscience and Remote Sensing
Publisher Institute of Electrical and Electronics Engineers (IEEE)
ISSN 0196-2892 
internationale
05/2012
vol.50
no.5
pp.1458-1467

SMOS – Soil Moisture – Roughness effect – L-band

Mission satellite SMOS, experience SMOSREX
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