From geophysical parameters to soil characteristics

Grandjean , Gilles
        .; Cousin , Isabelle
        INRA
        , Ardon .
         UR 0272 Unité Science du Sol; Seger , Maud
        INRA
        , Ardon .
         UR 0272 Unité Science du Sol; Thiesson , Julien
        INRA
        , Ardon .
         UR 0272 Unité Science du Sol; Lambot , Sébastien
        .; Van Wesemael , Bas
        .; Stevens , Antoine
        .; Samyn , Kévin
        .; Bitri , Adnand
        .; Bernardi , Séverine
        .

From geophysical parameters to soil characteristics

2009

Grandjean , Gilles (Bureau de Recherches Géologiques et Minières(France).) | Cousin , Isabelle (INRA , Ardon (France). UR 0272 Unité Science du Sol) | Seger , Maud (INRA , Ardon (France). UR 0272 Unité Science du Sol) | Thiesson , Julien (INRA , Ardon (France). UR 0272 Unité Science du Sol) | Lambot , Sébastien (Université Catholique de LouvainResearch Centre Jülich(Allemagne).) | Van Wesemael , Bas (Université Catholique de Louvain(Belgique).) | Stevens , Antoine (Université Catholique de Louvain(Belgique).) | Samyn , Kévin (Bureau de Recherches Géologiques et Minières(France).) | Bitri , Adnand (Bureau de Recherches Géologiques et Minières(France).) | Bernardi , Séverine (Bureau de Recherches Géologiques et Minières(France).)

The purpose of this study concerns the review of all possible techniques for making the inversion of geophysical signals into physical parameters more robust. The information provided by the different sensors are thus be integrated in a complementary way using correction protocols and data fusion strategies. In that way, each sensor should contribute to constrain each other and regularize the overall integrated parameter estimations. The present deliverable concerns the first task of the DIGISOIL’s WP2. During this study, we analyze the requirements for making soil characteristic maps and the way to use and integrate geophysical parameters for this purpose. After a state of the art on the different solutions for assimilating different sources of information for improving the quality of such maps, we propose a review of the capabilities of each method for characterizing soil structures and soil properties. A general processing workflow is established. It constitutes a first technical solution to reach our objectives. It will be tested in the future by using data acquired during the next field acquisition missions. This processing takes into account the different geophysical sensors already identified, supposes that inversion algorithms have already been applied to these data, uses auxiliary data for corrections, calibration or validation.

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