Soil Drainage Class Probability Mapping Using a Soil-Landscape Model

作者: James C. Bell , Robert L. Cunningham , Matthew W. Havens

DOI: 10.2136/SSSAJ1994.03615995005800020031X

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摘要: The direct application of quantitative soil-landscape models for soil mapping has been limited by technological constraints. This study combines a statistically based model and geographic information system (GIS) technology to create drainage class maps. An existing that predicts from parent material, terrain, surface feature proximity variables was used. A digital database stored in were used as inputs. Combinations these landscape defined overlaying the maps applying predictive probability most-likely class. modeled map agreed with an Order II (1:20000 scale) survey 67% area. majority disagreement attributed areas predicted somewhat poorly moderately well drained survey. technique consistently assigns on attributes, documents data decision criteria assignment, estimates uncertainty associated generates GIS applications. Contribution Dep. Agronomy, Pennsylvania State Univ.

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