Jackisch, Conrad; Andrä, Ines; Germer, Kai; Schulz, Katrin; Schiedung, Marcus; Haller-Jans, Jaqueline; Schneider, Jonas; Jaquemotte, Julia; Helmer, Philipp; Lotz, Leander; Graeff, Thomas; Bauer, Andreas; Hahn, Irene; Sanda, Martin; Kumpan, Monika; Dorner, Johann; de Rooij, Gerrit; Wessel-Bothe, Stefan; Kottmann, Lorenz; Schittenhelm, Siegfried; Durner, Wolfgang (2018): Soil moisture and matric potential - An open field comparison of sensor systems [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.892319, Supplement to: Jackisch, Conrad; Germer, Kai; Graeff, Thomas; Andrä, Ines; Schulz, Katrin; Schiedung, Marcus; Haller-Jans, Jaqueline; Schneider, Jonas; Jaquemotte, Julia; Helmer, Philipp; Lotz, Leander; Bauer, Andreas; Hahn, Irene; Sanda, Martin; Kumpan, Monika; Dorner, Johann; de Rooij, Gerrit; Wessel-Bothe, Stefan; Kottmann, Lorenz; Schittenhelm, Siegfried; Durner, Wolfgang (2020): Soil moisture and matric potential- an open field comparison of sensor systems. Earth System Science Data, 12(1), 683-697, https://doi.org/10.5194/essd-12-683-2020
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Abstract:
Soil water content and matric potential are central hydrological state variables. A large variety of automated probes and sensor systems for state monitoring exists and is frequently applied. Most studies solely rely on the calibration by the manufacturers. Until now, there is no commonly agreed calibration procedure. Moreover, several believes about the capabilities and reliabilities of specific sensing methods or sensor systems exist and compete.
A consortium of several institutions conducted a comparison study of currently available sensor systems for soil moisture and matric potential under field conditions. All probes have been installed in 0.2 m depth under best practise procedure. We present the setup and the recorded data of 58 probes of 15 different systems measuring soil moisture and 50 probes of 14 different systems for matric potential, which have been used during the campaign in 2016. The data is extended by pedophysical analyses of the soil and laboratory reference measurements for calibration.
Related to:
Jackisch, Conrad; Durner, Wolfgang; Germer, Kai; Graeff, Thomas; Sensor Comparison Study Consortium (in review): Soil moisture and matric potential - what do we measure? Vadose Zone Journal
Comment:
This repository holds the data and an exemplary python script.
The Jupyter Notebook *Sensor_Comparision_EEMD.ipynb* reads data from a field comparison of numerous sensors for soil moisture and matric potential. It uses an Ensemble Empirical Mode Decomposition (EEMD) for spectral recomposition of the recorded signals in order to avoid any assumptions about offset or scaling between the individual time series.
The notebook including the included python modules are given under GNU GPL3, the data under CreativeCommons BY-NC-SA 4.0 without any liability.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Jackisch, Conrad | |||
| 2 | File name | File name | Jackisch, Conrad | |||
| 3 | File format | File format | Jackisch, Conrad | |||
| 4 | File size | File size | kByte | Jackisch, Conrad | ||
| 5 | Uniform resource locator/link to file | URL file | Jackisch, Conrad |
License:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC-BY-NC-SA-3.0)
Size:
65 data points