Articles | Volume 6, issue 2
https://doi.org/10.5194/soil-6-499-2020
https://doi.org/10.5194/soil-6-499-2020
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, Mohammad Farzamian, Ana Marta Paz, Nádia Luísa Castanheira, Maria Conceição Gonçalves, and Fernando Monteiro Santos

Viewed

Total article views: 2,237 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,401 721 115 2,237 83 79
  • HTML: 1,401
  • PDF: 721
  • XML: 115
  • Total: 2,237
  • BibTeX: 83
  • EndNote: 79
Views and downloads (calculated since 05 Feb 2020)
Cumulative views and downloads (calculated since 05 Feb 2020)

Viewed (geographical distribution)

Total article views: 2,237 (including HTML, PDF, and XML) Thereof 2,020 with geography defined and 217 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 Nov 2024
Download
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.