Topics include: Data collection, acquiring new input information and auxiliary data (especially remote sensing, proximal soil sensing, digital terrain model data, citizen science etc.); data combination, Soil and environmental sampling optimization for DSM purposes, Scorpan model functions (classification and regression trees, random forests, artificial neural networks, etc.)
Introducing new methods and models and modification of the older ones, Exploitation and processing of legacy data, Mapping scale issues, upscaling and downscaling, maps disaggregation; harmonization of maps of different origin, Map uncertainty assessment, Visualization of the DSM products, Applications of DSM (e.g. soil organic carbon mapping, soil degradation maps), GlobalSoilMap project.
Please visit the webpage for further info: http://digitalsoil.