Inferences of soil characteristics by the Pedo-Transfert Functions approach
2010
Besson, Arlène | Seger, Maud | Cousin, Isabelle, I. | Grandjean, Gilles | Samyn, Kevin | Lambot, Sébastien | Garfagnoli, Francesca | Unité de recherche Science du Sol (USS) ; Institut National de la Recherche Agronomique (INRA) | Bureau de Recherches Géologiques et Minières (BRGM) | Université Catholique de Louvain = Catholic University of Louvain (UCL) | Università degli Studi di Firenze = University of Florence = Université de Florence (UniFI) | Commanditaire : Communauté Economique Européenne (Belgium)
The DIGISOIL project (FP7-ENV-2007-1 N°211523) is financed by the European Commission under the 7th Framework Programme for Research and Technological Development, Area "Environment”, Activity 6.3 “Environmental Technologies”.
Mostrar más [+] Menos [-]Inglés. This deliverable concerns the third task of the DIGISOIL’s WP2 “Inference of soil properties.” The objective of the D2.2 is to detail the general processing workflow as suggested in the deliverable D2.1 in view of estimating the relevant soil variables as bulk density, clay content, water content and carbon content from geophysical dataset comforted by auxiliary data. The inference approach is based on data fusion strategies and gathers three main steps, (1) the joint inversion of raw geophysical dataset, (2) the conversion of the geophysical parameters into soil variables and (3) the fusion of maps obtained for each soil variable at the field scale. First, in Introduction, the content of this deliverable is replaced into the general framework of workpackages components. Then, the three main steps are described following the chronological order of the general processing workflow. This last one will be summarized in a synthetic scheme in conclusion.
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