Calibrating the effective scattering albedo in the SMOS algorithm: some first results - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Communication Dans Un Congrès Année : 2016

Calibrating the effective scattering albedo in the SMOS algorithm: some first results

Résumé

This study focuses on the calibration of the effective scattering albedo (ω) of vegetation in the soil moisture (SM) retrieval at L-Band. Currently, in the SMOS Level 2 and 3 algorithms, the value of ω is set to 0 for low vegetation and ∼ 0.06 – 0.08 for forests. Different parameterizations of vegetation (in terms of ω values) were tested in this study. The possibility of combining soil roughness and vegetation contributions as a single parameter (“combined” method) leads to an important simplification in the algorithm and was also evaluated here. Following these assumptions, retrieved values of SMOS SM were compared with SM data measured over many in situ sites worldwide from the International Soil Moisture Network. These validation sites were classified using the International Geosphere-Biosphere Programme (IGBP) classification scheme. In situ SM measurements and SM retrievals were compared, and statistical scores were computed. The optimum albedo configuration was then found for each class of the IGBP landcover classification. Preliminary results yield values of albedo between 0.07 to 0.12 under the assumption of homogeneous pixels.
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Dates et versions

hal-02741253 , version 1 (03-06-2020)

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Roberto Fernandez-Moran, Jean-Pierre Wigneron, Gabrielle de Lannoy, Ernesto Lopez-Baeza, Arnaud Mialon, et al.. Calibrating the effective scattering albedo in the SMOS algorithm: some first results. IGARSS 2016 Advancing the understanding of our living planet, IEEE Geoscience and Remote Sensing Society (GRSS). USA., Jul 2016, Pékin, China. ⟨10.1109/IGARSS.2016.7729209⟩. ⟨hal-02741253⟩
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