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The use of electromagnetic induction techniques in soils studies

TLDR
Electromagnetic induction (EMI) has been used to characterize the spatial variability of soil properties since the late 1970s as mentioned in this paper, which can provide a more complete characterization of the spatial variations in soil properties than traditional sampling techniques.
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This article is published in Geoderma.The article was published on 2014-07-01 and is currently open access. It has received 301 citations till now. The article focuses on the topics: Digital soil mapping & Soil map.

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Citations
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The interdisciplinary nature of SOIL

TL;DR: SOIL as mentioned in this paper is a journal dedicated to the study of soil science and its applications to other related fields, such as bio-energy, bio-food, bioenergy, energy, and water.
Journal ArticleDOI

The emergence of hydrogeophysics for improved understanding of subsurface processes over multiple scales.

TL;DR: How geophysical methods have emerged as valuable tools for investigating shallow subsurface processes over the past two decades is documented and a vision for future developments relevant to hydrology and also ecosystem science is offered.
Journal ArticleDOI

Ground, Proximal, and Satellite Remote Sensing of Soil Moisture

TL;DR: Soil moisture (SM) is a key hydrologic state variable that is of significant importance for numerous Earth and environmental science applications that directly impact the global environment and human society.
Journal ArticleDOI

Soil mapping, classification, and pedologic modeling: History and future directions

TL;DR: There are still many significant needs in the area of soil mapping, classification, and pedologic modeling going into the future, and a more universal soil classification system would facilitate international communication of soils information.
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Climate change impacts on soil salinity in agricultural areas

TL;DR: In this article, the authors evaluate the impact climate change has had on selected agricultural areas experiencing weather pattern changes, with a focus on the use of proximal and satellite sensors to assess salinity development.
References
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Journal ArticleDOI

Effects of Liquid-phase Electrical Conductivity, Water Content, and Surface Conductivity on Bulk Soil Electrical Conductivity

TL;DR: In this paper, the authors used a simple capillary model, which assumes that liquid phase and surface conductivities (via exchangeable cations) behave as resistors in parallel, and calculated the values of ECa for each ECw equilibration from measured four-electrode resistances and an appropriate cell constant.
Journal ArticleDOI

On-the-go soil sensors for precision agriculture

TL;DR: In this paper, the authors present a review of on-the-go soil sensors based on electrical and electromagnetic, optical and radiometric, mechanical, acoustic, pneumatic, and electrochemical measurement concepts.
Related Papers (5)
Frequently Asked Questions (12)
Q1. What are the contributions in "The use of electromagnetic induction techniques in soils studies" ?

Doolittle et al. this paper used EMI to estimate the apparent electrical conductivity ( ECa ) of the subsurface without direct contact with the sampled volume. 

Because of upward leaching and evaporative processes, salts are concentrated near the soil surface in groundwater discharge sites (seeps) (Richardson and Williams, 1994). 

The higher concentration of soluble salts in surface layers results in higher ECa and inverted salt profiles (ECa is highest in surface layers and decreases with increasing depth). 

A major challenge in using EMI to map soil salinity has been the conversion of apparent conductivity(ECa) into the conductivity of the saturated paste extract (ECe); the most commonly used measure of soil salinity. 

Recent improvements in instrumentation and integration with other technologies (global-positioning systems (GPS), data processing software, and surface mapping programs) have fostered the expanded use of EMI in soils applications. 

By the mid- to late-1990s, the maturation of GPS and its integration with EMI sensors and data loggers revolutionized the collection of ECa data. 

The effectiveness of EMI as a soil mapping tool will depend upon the degree to which differences in the physical and chemical properties that affect ECa correspond to differences in soils. 

Point-sampling methods (such as soil pits, monitoring wells, core samples, and soil moisture probes) provide detailed, but highly site-specific soil and hydrologic data. 

Using the ECa data, Anderson-Cook et al. (2002) were able to correctly classify the soil type with an accuracy of greater than 85%. 

A major contribution of EMI surveys has been the identification and delineation of small included areas of dissimilar soils within soil polygons that have been mapped on second-order soil maps (Fenton and Lauterbach, 1999), although some common EMI sampling methods tend to represent soils that occupy a large percentage of the area within a field more representatively than soils that occupy small areas (Brevik, 2012). 

The impetus for this expanded use has been the need for more accurate soil maps than those provided by traditional mapping techniques (Batte, 2000; Brevik et al., 2003, 2012) and the demonstrated efficiency of EMI to improve the accuracy and reliability of soil maps and provide more detailed information on soils and soil properties.⁎ 

the spatial ECa patterns shown in Fig. 8 suggest two major, temporally-stable soil-landscape units within the catchment: the valley floor and higher-lying slope components.