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.