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Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
https://doi.org/10.5194/soil-11-435-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/soil-11-435-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Original research article
 | 
13 Jun 2025
Original research article |  | 13 Jun 2025

Pooled error variance and covariance estimation of sparse in situ soil moisture sensor measurements in agricultural fields in Flanders

Marit G. A. Hendrickx, Jan Vanderborght, Pieter Janssens, Sander Bombeke, Evi Matthyssen, Anne Waverijn, and Jan Diels

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Short summary
We developed a method to estimate errors in soil moisture measurements using limited sensors and infrequent sampling. By analyzing data from 93 cropping cycles in agricultural fields in Belgium, we identified both systematic and random errors for our sensor setup. This approach reduces the need for extensive sensor networks and is applicable to agricultural and environmental monitoring and ensures more reliable soil moisture data, enhancing water management and improving model predictions.
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Special issue
Agrogeophysics: illuminating soil's hidden dimensions