FERNANDEZ-MORAN, Roberto; WIGNERON, Jean-Pierre; LOPEZ-BAEZA, Ernesto; AL-YAARI, Amen; BIRCHER, Simone; COLL-PAJARON, Amparo; MAHMOODI, Ali; PARRENS, Marie; RICHAUME, Philippe; KERR, Yann H.

doi:10.1109/IGARSS.2015.7327001

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FERNANDEZ-MORAN, Roberto
Interactions Sol Plante Atmosphère [UMR ISPA]
Universitat de València = University of Valencia [UV]

WIGNERON, Jean-Pierre
Interactions Sol Plante Atmosphère [UMR ISPA]

LOPEZ-BAEZA, Ernesto
Universitat de València = University of Valencia [UV]

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IEEE International Geoscience and Remote Sensing Symposium Proceedings, IEEE International Geoscience and Remote Sensing Symposium Proceedings, Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 2015-07-26, Milan. 2015

IEEE Geoscience and Remote Sensing Society

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This paper focuses on a new approach to account for soil roughness effects in the retrieval of soil moisture (SM) at L-band in the framework of the SMOS (Soil Moisture and Ocean Salinity) mission: the Simplified Roughness Parameterization (SRP). While the classical retrieval approach considers SM and τ nad (vegetation optical depth) as retrieved parameters, this approach is based on the retrieval of SM and the TR parameter combining τ nad and soil roughness (TR τ nad + Hr /2). Different roughness parameterizations were tested to find the best correlation (R), bias and unbiased RMSE (ubRMSE) when comparing homogeneous retrievals of SM and in situ SM measurements carried out at the VAS (Valencia Anchor Station) vineyard field. The highest R (0.68) and lowest ubRMSE (0.056 m3 m-3) were found using the SRP method. Using the SMOS observations comparisons against several SM networks were also made: AACES, SCAN, watersheds and SMOSMANIA. SM was retrieved over all these stations. The SRP and another similar approach (SRP2) improved the averaged ubRMSE, while the SRP2 method leaded to higher correlation values (R). A global underestimation of SM was noticed, which may be linked to the differences in the sampling depths of the L-band observations ( ~ 0-3 cm for both Elbara-II and SMOS) and of the in situ measurements ( ~ 0-5 cm).< Réduire

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soil moisture

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L-band

mathematical model

microwave radiometry

soil measurements

vegetation mapping

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Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe

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