SciELO - Scientific Electronic Library Online

 
vol.63 issue3Rice cold tolerance at the reproductive stage in a controlled environmentLaser-induced fluorescence of organic matter from a Brazilian Oxisol under sewage-sludge applications author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Scientia Agricola

On-line version ISSN 1678-992X

Abstract

GIASSON, Elvio et al. Digital soil mapping using multiple logistic regression on terrain parameters in southern Brazil. Sci. agric. (Piracicaba, Braz.) [online]. 2006, vol.63, n.3, pp.262-268. ISSN 1678-992X.  https://doi.org/10.1590/S0103-90162006000300008.

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.

Keywords : GIS; DEM; soil survey; terrain analysis.

        · abstract in Portuguese     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License