
%0 Journal Article
%A Hedley, C. B. 
%A Yule, I. J. 
%A Eastwood, C. R. 
%A Shepherd, T. G. 
%A Arnold, G. 
%T Rapid identification of soil textural and management zones using electromagnetic induction sensing of soils
%J Soil Research
%D 2004/06/25
%V 42
%N 4
%P 389-400
%K EM38, ECa, soil mapping, soil compaction, VSA, Visual Soil Assessment.
%R https://doi.org/10.1071/SR03149
%U https://www.publish.csiro.au/paper/SR03149 
%X Three surveys of a pastoral&#8211;cropping farming system were carried out over a period of 1 year, using an electromagnetic sensor and real-time-kinematic (RTK)-GPS. The maps produced delineated areas of different apparent soil electrical conductivity (ECa). These delineated areas were compared with soil units of a conventional soil map and results showed the ECa map related well to soil-particle-size classes. In addition ECa could be used to predict groupings of soil phases accurately within one soil type.Soil coring to depths of 1 m, to determine soil physical and chemical properties, showed ECa values were moderately well correlated (R2 = 0.72) to soil clay percentage, weighted for the soil profile. Soil fertility indicators, Olsen P (R2 = 0.61), cation exchange capacity (R2 = 0.59), and exchangeable magnesium (R2 = 0.76) also related well. The linear regression (R2 = 0.76) of ECa with exchangeable magnesium is thought to reflect the dominant clay mineralogy of the study area, i.e. chlorites weathering to illites and releasing magnesium to the soil solution. Discriminant statistical analysis of results showed point ECa values could be used to predict 2 major groupings of the mapped soil phases with 100% accuracy. More precise prediction of these mapped soil units is constrained by localised management effects. Elevated ECa values occur at areas of soil compaction, which have been deduced from measurements of soil strength, aggregate size distribution and visual soil assessment. 
