The DOI matches its Crossref record.
Rapid, Accurate Mapping of Soil Salinity by Electromagnetic Ground Conductivity Meters
Abstract
The saturated paste extract method is widely accepted as an accurate indication of the degree of salinization of a soil sample. This method basically measures the electrical conductivity of a carefully prepared sample of the soil and, while accurate, is time consuming to carry out because of the preparation procedure. It is also a “point-sample” method, leaving doubt as to whether the measurement is representative. To overcome these limitations extensive investigation into the use of conventional in situ direct current (DC) resistivity techniques has been carried out to determine conditions under which this technique accurately measures the degree of soil salinization. However, conventional DC resistivity measurements are also relatively slow to carry out. Instruments using inductive electromagnetic techniques are now widely used to map terrain conductivity. These devices, which electromagnetically induce small currents in the ground, measure the magnetic field strength generated by these currents to determine terrain conductivity. They are well suited to assessing soil salinity since they respond to more conductive (and thus more saline) soils and, furthermore, do not require electrical contact with the ground. Exploration depth of these devices is determined by the spacing between the transmitter and receiver coils; commercially available instruments measure from a depth of approximately 1 m to several tens of meters. Their chief advantage is that large areas can be surveyed quickly, and thus in considerable detail. A significant disadvantage is that variation of conductivity with depth is not well resolved. Because of various factors other than soil salinity which can affect the bulk soil conductivity, saturated paste extract samples must still be taken, but now at much reduced intervals and at locations now known to be statistically significant. The theory of operation of electromagnetic ground conductivity meters is briefly described, comparative survey results (with both saturation paste extract and DC resistivity measurements) are shown, and survey results over the depth range referred to above are presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Apparent soil electrical conductivity measurements in agriculture
Corwin, D. L., & Lesch, S. M. (2005) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2004.10.005 · Cited by 1,081
Soil Electrical Conductivity as a Crop Productivity Measure for Claypan Soils
Kitchen, N. R., Sudduth, K. A., & Drummond, S. T. (1999) · Journal of Production Agriculture · doi:10.2134/jpa1999.0607 · Cited by 272
Sensing Soil Properties in the Laboratory, In Situ, and On-Line
Kuang, B., Mahmood, H. S., Quraishi, M. Z., Hoogmoed, W. B., Mouazen, A. M., & van Henten, E. J. (2012) · Advances in Agronomy · doi:10.1016/b978-0-12-394275-3.00003-1 · Cited by 267
Sensor data fusion for soil health assessment
Veum, K. S., Sudduth, K. A., Kremer, R. J., & Kitchen, N. R. (2017) · Geoderma · doi:10.1016/j.geoderma.2017.05.031 · Cited by 57
Metadata
- Authors
- McNeill, J. D.
- Venue
- SSSA Special Publications
- Publisher
- Wiley
- Published
- 1992-01
- Pages
- 209-229
- ISSN
- 0081-1904 (ISSN-L)
- 2165-9826
- OpenAlex
- W2492754062
- Cited by
- 161
- References
- 0
- Type
- other
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rapid, Accurate Mapping of Soil Salinity by Electromagnetic Ground Conductivity Meters. https://app.cochat.ai/papers/10.2136/sssaspecpub30.c11
- The paper
- McNeill, J. D. (1992). Rapid, Accurate Mapping of Soil Salinity by Electromagnetic Ground Conductivity Meters. SSSA Special Publications. https://doi.org/10.2136/sssaspecpub30.c11
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.