Digital soil mapping using multiple logistic regression on terrain parameters in southern Brazil

Scientia Agricola

Elvio Giasson²  Robin Thomas Clarke¹  Alberto Vasconcellos Inda Junior²  Gustavo Henrique Merten¹  Carlos Gustavo Tornquist¹ 

[1] ,UFRGS Faculdade de Agronomia Depto. de SolosPorto Alegre RS ,Brasil

关键词: GIS;    DEM;    soil survey;    terrain analysis;    levantamento de solos;    SIG;    MNT;    análise do terreno;   

DOI  :  10.1590/S0103-90162006000300008

来源: SciELO

【 摘 要 】

Soil surveys are necessary sources of information for land use planning, but they are not always available. This study proposes the use of multiple logistic regressions on the prediction of occurrence of soil types based on reference areas. From a digitalized soil map and terrain parameters derived from the digital elevation model in ArcView environment, several sets of multiple logistic regressions were defined using statistical software Minitab, establishing relationship between explanatory terrain variables and soil types, using either the original legend or a simplified legend, and using or not stratification of the study area by drainage classes. Terrain parameters, such as elevation, distance to stream, flow accumulation, and topographic wetness index, were the variables that best explained soil distribution. Stratification by drainage classes did not have significant effect. Simplification of the original legend increased the accuracy of the method on predicting soil distribution.

【 授权许可】

CC BY   
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