ABSTRACT

Soil is a very important source of many ecosystem services. To achieve sustainability, it is important to understand how soils vary over space in the landscape. We present a summary of results on mapping selected soil properties in Scotland following GlobalSoilMap specifications. A scorpan-kriging approach was used and both lateral and vertical variability were taken into account. A mix of morphological, optical and radar remote sensing data proved useful to map soil properties in both 2D and 3D. The use of radar Sentinel-1 data improved the prediction capability of models with only optical bands. The results showed good validation statistics with a RMSE below 20% of the range for all considered soil properties. The produced maps of soil properties describing both lateral and vertical variability, with associated uncertainty, are important for further modelling and management of soil resources and ecosystem services.