Contributers: AU-Agro, SkyTEM, Region Midtjylland
Data acquisition Environmental data (covariates) and soil observations are required as input data to model the target variables (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 subdivided according to valley type and lithology. This classification will then help evaluating the spatial variability within each type and defining how many soil samples should be collected by type. New environmental data will be collected both with proximal and remote geophysical sensors from WP1 for the 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, C content). Based on the preliminary analysis of the collated data, a field sampling design will be defined for each study area.