Soil drainage class probability mapping using a soil-landscape model

Jay Bell, R. L. Cunningham, M. W. Havens

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

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

Original languageEnglish (US)
Pages (from-to)464-470
Number of pages7
JournalSoil Science Society of America Journal
Volume58
Issue number2
DOIs
StatePublished - 1994

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