Journal
GEODERMA REGIONAL
Volume 22, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.geodrs.2020.e00295
Keywords
Digital soil mapping; Lithology; Parent material; Gamma-ray spectrometry
Categories
Funding
- Region Centre
- BRGM
- FEDER European funds
- French Scientific Group of Interest on Soils, the GIS Sol
- French Ministry for Ecology and Sustainable Development
- French Ministry of Agriculture
- French Agency for Energy and Environment (ADEME)
- National Institute for Agronomic Research (INRA)
- Institute for Research and Development (IRD)
- National Forest Inventory (IFN)
- French Agency for Biodiversity
- LE STUDIUM Loire Valley Institute for Advanced Studies through its LE STUDIUM Research Consortium Programme
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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. (c) 2020 Elsevier B.V. All rights reserved.
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