Digital Soils: Mapping
Digital Soil Mapping (DSM) is a successful sub-discipline of soil science used to generate predictive maps of soil properties and soil functions, along with the uncertainty inherent in these predictions. It uses information from soil profiles and soil legacy maps along with mathematical or statistical models that relate soil observations to environmental covariates. Hutton researchers in DSM use data mining and machine learning algorithms for predicting the spatial distribution of soil properties, soil types and soil water regulatory functions. Moreover, DSM outputs are being used for conducting Digital Soil Assessments (DSA), such as for soil erosion risk mapping, designed to support the sustainable management of natural resources.
Associated staff:
Allan Lilly, Zisis Gagkas, Nikki Baggaley and Matt Aitkenhead
