Soil drainage class probability mapping using a soil-landscape model

An existing soil-landscape model that predicts soil drainage class from parent material, terrain, and surface drainage feature proximity variables was used. A digital geographic database of parent material, terrain, and surface drainage feature proximity variables stored in a geographic information system (GIS) were taken as model inputs. Combinations of these landscape variables were defined by overlaying the digital maps and by applying the soil-landscape model to create predictive maps. The modeled soil drainage class map agreed with a 1:20 000 scale soil survey for 67% of the study area. This technique consistently assigns soil drainage class based on landscape attributes, documents the data and decision criteria, estimates uncertainty and generates a digital map for GIS applications. -from Authors