Field Scale Patterns of Soil Water Storage From Non-Contacting Measurements of Bulk Electrical Conductivity

Kachanoski, R. G.; Wesenbeeck, I. J. van; Jong, E. de

doi:10.4141/cjss90-056

Cited by 60 publications

(34 citation statements)

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“…Apparent conductivity has also been used as a surrogate measure of soil water content (Allred et al, 2005;Brevik et al, 2006;Hezarjaribi and Sourell, 2007;Huth and Poulton, 2007;Kachanoski et al, 1988Kachanoski et al, , 1990Khakural et al, 1998;Korsaeth et al, 2008;Mueller et al, 2003;Sheets and Hendrickx, 1995;Tromp-van Meerveld and McDonnell, 2009;Waine et al, 2000), soil texture (Heil and Schmidhalter, 2012;James et al, 2003;Saey et al, 2012a;White et al, 2012); and clay content (Cockx et al, 2009;Harvey and Morgan, 2009;King et al, 2005;Mueller et al, 2003;Sommer et al, 2003;Weller et al, 2007;Wienhold and Doran, 2008;Williams and Hoey, 1987). Electromagnetic induction has been used to assess difference in lithology and mineralogy (Bourgault and Rabenhorst, 2012;Doolittle et al, 2005Doolittle et al, , 2013, soil compaction (Al-Gaadi, 2012; Sudduth et al, 2010); CEC (Korsaeth et al, 2008;Triantafilis et al, 2009;), exchangeable Ca and Mg (McBride et al, 1990), CaCO 3 (Vitharana et al, 2008b); soil pH (Bianchini and Mallarino, 2002;Dunn and Beecher, 2007;Van Meirvenne et al, 2013;Vitharana et al, 2008b;Wienhold and Doran, 2008), soil organic carbon …”

Section: Other Soil Propertiesmentioning

confidence: 99%

“…In hydropedological studies, EMI has been used to indirectly measure and characterize soil water content, subsurface flow, depth to water table, and soil drainage classes (Allred et al, 2005;Doolittle et al, 2000;Kachanoski et al, 1990;Khakural et al, 1998;Kravchenko et al, 2002;Robinson et al, 2008;Scanlon et al, 1999;Schumann and Zaman, 2003;Sheets and Hendrickx, 1995;Williams et al, 2006;Zhu et al, 2010aZhu et al, , 2010b. Studies have revealed that the relative difference in soil EC a across most landscapes remained relatively stable over time (Brevik et al, 2006;Zhu et al, 2010a).…”

Section: A Tool For Soil-hydrologic Studiesmentioning

confidence: 99%

“…In soils that have low salt contents, EC a is strongly influenced by variations in clay and moisture contents (Brevik and Fenton, 2002;Carroll and Oliver, 2005;Johnson et al, 2001;Kachanoski et al, 1990). As a consequence, King et al (2005) associated changes in EC a with changes in soil type and hydrology.…”

Section: A Tool For Soil-hydrologic Studiesmentioning

confidence: 99%

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The use of electromagnetic induction techniques in soils studies

Doolittle¹,

2014

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Section: Other Soil Propertiesmentioning

confidence: 99%

Section: A Tool For Soil-hydrologic Studiesmentioning

confidence: 99%

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The use of electromagnetic induction techniques in soils studies

Doolittle¹,

2014

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“…In two separate studies, Kachanoski et al (1988Kachanoski et al ( , 1990 found spatial variation in soil water stored within the top 0.5 and 1.7 m to be highly correlated with the spatial variation in bulk soil electrical conductivity measured with EMI meters (i.e. EM38 and EM31).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of EM38 in determining soil water distribution in an irrigated wheat field

Padhi¹,

Misra²

2011

Soil and Tillage Research

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Geonics EM38 is a portable, non-invasive equipment that induces an electrical current in the soil for rapid measurement of apparent electrical conductivity (EC a ) in the field. We used an EM38 in a wheat field to evaluate the effects of systematic variation in soil water content (within three replicate plots of four irrigation treatments) and seasonal variation in soil temperature on EC a . The effective depth of sensing of EM38 could be varied by using it in both vertical and horizontal dipole modes and by placing it at various heights above the ground. Accumulated water within various soil depths was measured with a neutron probe throughout the season. Values of EC a over the season for a soil depth related linearly or nonlinearly with soil water within that depth with a coefficient of determination (R 2 ) of 0.70-0.81. EC a values were also influenced by variation in soil temperature within 5-25 cm depth (range 10.1-29.3 °C) and air temperature (range 14.2-34.0 °C), but to a smaller extent than soil water. The overall relationship between EC a , soil water and soil temperature improved considerably when multiple regression was used (R 2 = 0.82-0.98). Good correspondence between maps of EC a and soil water content over the experimental field suggests that EC a maps could be useful in determining spatial distribution of soil water within crop fields so that variable rather than uniform quantity of irrigation water can be applied to improve water use efficiency.

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“…Electromagnetic induction can be used to indirectly estimate soil properties if the contributions of the other soil properties affecting the ECa measurement are known or can be estimated. Previous studies have shown that the controlling factor in some areas is clay content [8,9,10,11,12], salinity [13,14,15] and water content [16,17,18] and can include all three factors in different parts of a study area [19,20].…”

Section: Introductionmentioning

confidence: 99%

Delineation of site-specific management zones by fuzzy clustering of soil and topographic attributes: A case study of East Nile Delta, Egypt

Saleh¹,

Belal²

2014

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. The objective of this study was to define site-specific management zones of 67.2 ha of a wheat pivot field at East of Nile Delta, Egypt for use in precision agriculture based on spatial variability of soil and topographic attributes. The field salinity was analysed by reading the apparent soil electrical conductivity (ECa) with the EM38 sensor horizontally and vertically at 432 locations. The field was sampled for soil attributes systematically with a total of 80 sampling location points. All samples were located using GPS hand held unit. Soil sampling for management zones included soil reaction pH, soil saturation percentage, organic matter, calcium carbonates content, available nitrogen, available phosphorus and available potassium. The field topographic attributes were digital elevation model (DEM), slope, profile curvature, plane curvature, compound topographic index (CTI) and power stream index (PSI). The maps of spatial variability of soil and field topographic attributes were generated using ordinary kriging geostatistical method. Principal component analysis (PCA) was used to determine the most important soil and topographic attributes for representing within-field variability. Principal component analysis of input variables indicated that EM38 horizontal readings (EM38h), soil saturation percentage and digital elevation model were more important attributes for defining field management zones. The fuzzy c-means clustering method was used to divide the field into potential management zones, fuzzy performance index (FPI) and normalized classification entropy (NCE) were used to determine the optimal cluster numbers. Measures of cluster performance indicated no advantage of dividing these fields into more than five management zones. The defined management zones not only provided a better description of the soil properties, but also can direct soil sampling design and provide valuable information for site-specific management in precision agriculture.

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Field Scale Patterns of Soil Water Storage From Non-Contacting Measurements of Bulk Electrical Conductivity

Cited by 60 publications

References 0 publications

The use of electromagnetic induction techniques in soils studies

The use of electromagnetic induction techniques in soils studies

Sensitivity of EM38 in determining soil water distribution in an irrigated wheat field

Delineation of site-specific management zones by fuzzy clustering of soil and topographic attributes: A case study of East Nile Delta, Egypt

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