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Reliably Mapping Clay Content Coregionalized with Electrical Conductivity

Author:
Reyes, Javier  Wendroth, Ole  Matocha, Christopher  Zhu, Junfeng  Ren, Wei  Karathanasis, A. D.  


Journal:
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL


Issue Date:
2018


Abstract(summary):

Understanding the spatial variability of soil texture within field soils is important due to its influence on a large number of soil and plant related processes and for site-specific application of inputs that are crucial to crop production. It remains a problem to obtain a reliable clay content map based on a limited number of sampling locations. The objective of this study was to identify spatial variability of soil clay content and the behavior of the estimation result for different spatial resolutions of measured clay content (0-20 cm depth) in combination with a coregionalization approach using apparent electrical conductivity (ECa). In a silty loam soil, soil clay content was measured at 96 points in a 50-m by 50-m grid within an agricultural field. ECa, was measured using a contact sensor Veris 3150. Data were analyzed with ordinary kriging and cokriging while using ECa, at a shallow depth. We analyzed different sampling scenarios based on clay subsamples of 48, 24, and 12 data points distributed over the 27-ha field. In all scenarios investigated here, the RMSE stayed in the range of 3 to 4% by using different validations, with cokriging performing constantly better than ordinary kriging. Clay content maps estimated with cokriging maintained a satisfactory precision when the sampling density was reduced to one sample per two hectares, a result that leads to the conclusion that electrical conductivity in combination with spatial coregionalization demonstrated to be a promising tool to estimate the spatial variation of clay content even at a low clay sampling density.


Page:
578---592


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