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Article
Improving Map Accuracy of Soil Variables Using Soil Electrical Conductivity as a Covariate
Precision Agriculture
  • Alison B. Tarr, United States Department of Agriculture
  • Kenneth J. Moore, Iowa State University
  • Donald G. Bullock, University of Illinois at Urbana-Champaign
  • Philip M. Dixon, Iowa State University
  • C. Lee Burras, Iowa State University
Document Type
Article
Publication Version
Published Version
Publication Date
6-1-2005
DOI
10.1007/s11119-005-1385-9
Abstract

Accurate characterization of soil properties across a field can be difficult, especially when compounded with the diverse landscapes used for pastureland. Indirect methods of data collection have the advantage of being rapid, noninvasive, and dense; they may improve mapping accuracy of selected soil parameters. The objective of this study was to determine if the use of soil electrical conductivity (EC) as a covariate improved mapping accuracy of five soil variables across four sampling schemes and two sampling densities in a central Iowa, USA pasture. In this study, cokriging methods were compared to kriging methods for the measured soil properties of soil pH, available P and K, organic matter and moisture. Maps resulting from cokriging each of the soil variables with soil EC exhibited more local detail than the kriged maps of each soil variable. A small, but inconsistent, improvement occurred in kriging variance and prediction accuracy of non-sampled sites when cokriging was implemented. The improvement was generally greater for soil variables more highly correlated with soil EC. This work indicates that cokriging of EC with less densely and invasively collected soil parameters of P, K, pH, organic matter (OM) and moisture does not consistently and substantially improve the characterization accuracy of pasture soil variability.

Comments

This article is from Precision Agriculture 6 (2005): 255, doi:10.1007/s11119-005-1385-9.

Rights
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Language
en
Date Available
2015-06-04
File Format
application/pdf
Citation Information
Alison B. Tarr, Kenneth J. Moore, Donald G. Bullock, Philip M. Dixon, et al.. "Improving Map Accuracy of Soil Variables Using Soil Electrical Conductivity as a Covariate" Precision Agriculture Vol. 6 Iss. 3 (2005) p. 255 - 270
Available at: http://works.bepress.com/philip-dixon/16/