Contributers:  AU AGRO, SkyTEM and CDR

Environmental data (covariates) and soil observations are required as input data to model peatland type and extent, peat thickness and groundwater depth in detail. Typical environmental data consist of legacy data on landscape, soil maps, historical land use maps, drainage systems related data, and remote sensing data, such as satellite images and digital elevation models. Early in the project, the wetlands and river valleys will be classified and divided according to valley type and lithology. This classification will then help evaluate the spatial variability within each type and define how many soil samples should be collected by type. New environmental data will be collected for the three study areas. For model development and validation, soil observations will be collected in the field (e.g. peat thickness, field pH, conductivity at different depths) and samples will be analyzed in the laboratory (e.g. bulk density, carbon content). Based on the preliminary analysis of the gathered data, a field sampling design will be defined for each study area.

Work package lead: Mogens Greve, Aarhus University.