Articles | Volume 6, issue 2
SOIL, 6, 499–511, 2020
SOIL, 6, 499–511, 2020
Original research article
12 Oct 2020
Original research article | 12 Oct 2020

Assessing soil salinity dynamics using time-lapse electromagnetic conductivity imaging

Maria Catarina Paz et al.

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Cited articles

Barrett-Lennard, E. G., Bennett, S. J., and Colmer, T. D.: Standardising the terminology for describing the level of salinity in soils. In: Proceedings of the 2nd international salinity forum: Salinity, water and society global issues, local action, Adelaide, SA, Australia, 31 Mar.–3 Apr. 2008. Geological Society of Australia, Hornsby, NSW, Australia, 2008. 
Bouksila, F., Persson, M., Bahri, A., and Berndtsson, R.: Electromagnetic inductionprediction of soil salinity and groundwater properties in a Tunisian Saharan oasis, Hydrol. Sci. J., 57, 1473–1486,, 2012. 
Corwin, D. L. and Lesch, S. M.: Characterizing soil spatial variability with apparent soilelectrical conductivity: I. Survey protocols, Comp. Elec. Agri. Appl. Apparent Soil Elec. Conductivity Precis. Agri., 46, 103–133,, 2005. 
Corwin, D. L. and Scudiero, E.: Chapter One - Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors, Adv. Agron., 158, 1–130,, 2019. 
Dafflon, B., Hubbard, S., Ulrich, C., and Peterson, J. E.: Electrical conductivity imaging of active layer and permafrost in an arctic ecosystem, through advanced inversion of electromagnetic induction data, Vadose Zone J., 12, 1–19,, 2013. 
Short summary
In this study electromagnetic induction (EMI) surveys and soil sampling were repeated over time to monitor soil salinity dynamics in an important agricultural area that faces risk of soil salinization. EMI data were converted to electromagnetic conductivity imaging through a mathematical inversion algorithm and converted to 2-D soil salinity maps until a depth of 1.35 m through a regional calibration. This is a non-invasive and cost-effective methodology that can be employed over large areas.