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Digital Soil Mapping Using Digital Terrain Analysis and Statistical Modeling Integrated into GIS: Examples from Vestfold County of Norway

By Misganu Debella-gilo, Bernd Etzelmuller and Ove Klakegg

Abstract

Abstract. This paper outlines methodology to predict the spatial distribution of soil classes using digital terrain analysis and multinomial logistic regression for the Vestfold County of south-eastern Norway. A digital elevation model of 25 meter resolution and digitized soil map were used as original data for the terrain and soil respectively. Fifteen terrain attributes were derived from the digital elevation model. There were thirteen soil types in the surveyed area of the study site. The relationship between the soil types and the terrain attributes were modeled using multinomial logistic regression. The logit models were used to predict the probability of existence of each of the soil classes. The result showed that elevation, flow length, duration of daily direct solar radiation, slope, aspect and topographic wetness index were the most significant terrain attributes determining the spatial distribution of soil classes. The probability prediction for each soil class was found to be reliable when conceptually evaluated and visually compared against the empirical soil maps except for those which are not greatly influenced by topography but by other factors such as human activity

Topics: Digital soil mapping, terrain Analysis, GIS, logistic regression
Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.126
Provided by: CiteSeerX
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