Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 25, issue 12
Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6407-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-6407-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 12
Research article
 | 
17 Dec 2021
Research article |  | 17 Dec 2021

An inverse dielectric mixing model at 50 MHz that considers soil organic carbon

Chang-Hwan Park, Aaron Berg, Michael H. Cosh, Andreas Colliander, Andreas Behrendt, Hida Manns, Jinkyu Hong, Johan Lee, Runze Zhang, and Volker Wulfmeyer

Viewed

Total article views: 2,667 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,010 595 62 2,667 44 47
  • HTML: 2,010
  • PDF: 595
  • XML: 62
  • Total: 2,667
  • BibTeX: 44
  • EndNote: 47
Views and downloads (calculated since 31 May 2021)
Cumulative views and downloads (calculated since 31 May 2021)

Viewed (geographical distribution)

Total article views: 2,667 (including HTML, PDF, and XML) Thereof 2,494 with geography defined and 173 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
In this study, we proposed an inversion of the dielectric mixing model for a 50 Hz soil sensor for agricultural organic soil. This model can reflect the variability of soil organic matter (SOM) in wilting point and porosity, which play a critical role in improving the accuracy of SM estimation, using a dielectric-based soil sensor. The results of statistical analyses demonstrated a higher performance of the new model than the factory setting probe algorithm.
Read more
Share