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This deliverable D3.2 (Site preparation) is linked to the first task (3.1) of DIGISOIL’s WP3 (Implementation, field testing and validation on selected test sites). The objectives are here to report all the experiments that have been conducted on real test sites to evaluate the proposed methodology. Test sites are identified as Luxembourg (LU), Mugello (IT) and Zala (HU). For each geophysical method, the experimental conditions, data acquisitions, validation points and produced maps are presented. The optimal combination of petrophysical parameters are used to describe the aforementioned soil properties. The inference functions and fusion techniques developed in WP 2 are applied to the field conditions of the different test sites. Where possible geo-referenced data sets and maps were used for calibration and validation of the geophysical techniques. In some cases, additional analyses can be required to fill the gaps in the datasets and cover the selected dynamic soil properties. The experimental conditions, the results and the costs of the experiments and measurements for each geophysical method (Hyperspectral, GPR, EMI, Geoelectric, Seismic), in terms of man-day, are reported. After a general introduction that indicates the specific content of this deliverable in relationship with the deliverables of WP2 and other deliverables of WP3, each experiment is described in detail. The plan is organized by experimentations but several geophysical methods may have been run at the same site.

This deliverable is linked to the second task (2.2) of DIGISOIL's WP2 "Laboratory or field calibration in controlled conditions". The objective here are to report all the experiments that have been conducted under controlled conditions, either in the laboratory, or in the field, both at the calibrating sites Beauce (France), Roujan (France) or Telega (Romania), or in any other field site that has been thought to conditions, the experimental results and the costs of the experiments in terms of man-day are reported. After a general introduction that indicates the specific content of this deliverable in relationship with the deliverables of WP1 and other deliverables of WP2, each experiment is described in detail. The plan is organized by geophysical tool but several geophysical methods may have been run at the same site. The reader is suggested to refer to Table 9 for synthesis.

International audience

The present deliverable concerns the first task of the DIGISOIL’s WP1. Requirements of the proposed system according to the data acquisition and management points of view are first studied. These requirements lead to organise the different components of the system in the frame of a functional analysis where objectives, products and functions are clearly presented. Then, a state of the art on the different geophysical sensing techniques able to contribute to the DIGISOIL’s objectives is performed. Each technique is reviewed in terms of measurement principles, processing and applications, strengths and limitations, and availability of commercial and non-commercial sensors. This part leads to identify the techniques being in the scope of the projects from those considered not suitable enough. Finally, for all of these techniques, a study of possible technical solutions is conducted for identifying the best active source, sensors, measuring strategy and equipment. A synthetic table is finally proposed to roughly identify the composition of the integrated system that will be tested in the next field experiments.

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.

National audience