Hand-feel soil texture observations to evaluate the accuracy of digital soil maps for local prediction of particle size distribution. A case study in central France
2022
Richer-De-Forges, Anne C | Arrouays, D. | Poggio, Laura | Chen, Songchao | Lacoste, Marine | Minasny, Budiman | Libohova, Zamir | Roudier, Pierre | Leatitia Mulder, Vera | Nédélec, Hervé | Martelet, Guillaume | Lemercier, Blandine | Lagacherie, Philippe | Bourennane, Hocine | InfoSol (InfoSol) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Unité de Science du Sol (Orléans) (URSols) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | World Soil Information (ISRIC) | ZJU-Hangzhou Global Scientific and Technological Innovation Center (ZJU) | Sydney Institute of Agriculture ; The University of Sydney | The University Sydney, School Life & Environmental Sciences, | Natural Resources Conservation Services (NRCS) ; United States Department of Agriculture | Manaaki Whenua – Landcare Research [Lincoln] | Soil Geography and Landscape Group ; Wageningen University and Research [Wageningen] (WUR) | Chambre d'Agriculture du Loiret | Bureau de Recherches Géologiques et Minières (BRGM) (BRGM) | Sol Agro et hydrosystème Spatialisation (SAS) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH) ; Institut de Recherche pour le Développement (IRD)-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
International audience
Show more [+] Less [-]English. Digital maps of soil properties are now widely available. End-users now can access several digital soil mapping (DSM) products of soil properties, produced using different models, calibration/training data, covariates and at various spatial scales from global to local. Therefore, there is an urgent need to provide easy-to-understand tools to communicate map uncertainty and help end-users assess the reliability of DSM products for use at local scales. In this study, we used a large number of hand-feel soil texture data (HFST) to assess the performance of various published DSM products on the prediction of particle-size distribution in Central France. We tested four DSM products of texture prediction developed at various scales (Global, continental, national, and sub-national) by comparing their predictions with ca 3,200 HFST observations realised on a 1:50,000 soil survey conducted after the release of these DSM products. We used both visual comparisons and quantitative indicators of matching DSM predictions and HFST. The comparison between low-cost observed HFST and DSM predictions clearly showed the applicability of various DSM products, with prediction accuracy increasing from global to sub-national predictions. This simple evaluation can decide which products can be used at the local scale and if more accurate DSM products are required.
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