Digital Soil Mapping (DSM) is the creation and the population of a geographically referenced soil database generated at a given resolution by using field and laboratory observation methods coupled with environmental data through quantitative relationships. The key issues of digital soil mapping include the adoption of new mapping tools and techniques, data management systems, innovative delivery of soil data, and methods to analyze, integrate, and visualize soil and environmental datasets.

Key themes for the meeting include:

• Data collection, acquiring new input information and auxiliary data (especially remote sensing, proximal soil sensing, digital terrain model data 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.net project