Articles | Volume 6, issue 2
https://doi.org/10.5194/soil-6-499-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-6-499-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
12 Oct 2020
Original research article |
| 12 Oct 2020
| 12 Oct 2020
Assessing soil salinity dynamics using time-lapse electromagnetic conductivity imaging
Maria Catarina Paz
Instituto Dom Luiz, Faculdade de Ciências da Universidade de
Lisboa, Campo Grande, Edifício C1, Piso 1, 1749-016 Lisbon, Portugal
CIQuiBio, Barreiro School of Technology, Polytechnic Institute of
Setúbal, Rua Américo da Silva Marinho, 2839-001 Lavradio, Portugal
Mohammad Farzamian
CORRESPONDING AUTHOR
Instituto Dom Luiz, Faculdade de Ciências da Universidade de
Lisboa, Campo Grande, Edifício C1, Piso 1, 1749-016 Lisbon, Portugal
Instituto Nacional de Investigação Agrária e
Veterinária, Avenida da República, Quinta do Marquês
(edifício sede), 2780-157 Oeiras, Portugal
Ana Marta Paz
Instituto Nacional de Investigação Agrária e
Veterinária, Avenida da República, Quinta do Marquês
(edifício sede), 2780-157 Oeiras, Portugal
Nádia Luísa Castanheira
Instituto Nacional de Investigação Agrária e
Veterinária, Avenida da República, Quinta do Marquês
(edifício sede), 2780-157 Oeiras, Portugal
Maria Conceição Gonçalves
Instituto Nacional de Investigação Agrária e
Veterinária, Avenida da República, Quinta do Marquês
(edifício sede), 2780-157 Oeiras, Portugal
Fernando Monteiro Santos
Instituto Dom Luiz, Faculdade de Ciências da Universidade de
Lisboa, Campo Grande, Edifício C1, Piso 1, 1749-016 Lisbon, Portugal
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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.
In this study electromagnetic induction (EMI) surveys and soil sampling were repeated over time...
