Could airborne gamma-spectrometric data replace lithological maps as co-variates for digital soil mapping of topsoil particle-size distribution? A case study in Western France - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Geoderma Régional Année : 2020

Could airborne gamma-spectrometric data replace lithological maps as co-variates for digital soil mapping of topsoil particle-size distribution? A case study in Western France

Résumé

Parent material is a crucial co-variate in predicting soil properties using digital soil mapping (DSM) methods. This spatial information can be obtained using available lithology maps, or using proxies such as gamma-ray spectroscopic maps. In this study, we used random forests to predict topsoil texture (clay, silt, and sand in grams per kilogram) in a French sub-region using a high density of soil measurements and available co-variates including climate, topography, land use, and satellite data. Then, we tested the value of adding a lithology map at the 1:50,000 scale and/or an airborne gamma-ray spectroscopy map in a French region characterised by a considerable contrast in geology and lithology. We showed that adding airborne gamma-ray spectroscopic data substantially increased the indicators of prediction performance and led to less noisy and more interpretable maps for this region. These results suggest that airborne gamma-ray spectroscopy can be a very useful co-variate to predict these topsoil properties.

Domaines

Science des sols
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Dates et versions

hal-03467098 , version 1 (06-12-2021)

Identifiants

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Thomas Loiseau, Anne C Richer-De-Forges, Guillaume Martelet, Anne Bialkowski, Pierre Nehlig, et al.. Could airborne gamma-spectrometric data replace lithological maps as co-variates for digital soil mapping of topsoil particle-size distribution? A case study in Western France. Geoderma Régional, 2020, 22, pp.e00295. ⟨10.1016/j.geodrs.2020.e00295⟩. ⟨hal-03467098⟩
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