This repository contains Python code supporting the calibration and validation of TEROS 10 and TEROS 12 electromagnetic soil moisture sensors, following the framework described in Cominelli et al. The workflow includes sensor calibration, validation, sensing volume information, and temperature calibration/assessment. :contentReference[oaicite:0]{index=0}
The code was developed to:
- calibrate TEROS 10 and TEROS 12 sensors in mineral soils,
- validate sensor performance with laboratory and field data,
- document the sensing volume of each sensor, and
- evaluate sensor response across temperature conditions. :contentReference[oaicite:1]{index=1}
This repository includes Python scripts for:
- calibration model fitting,
- calibration and validation dataset processing,
- temperature calibration or temperature sensitivity analysis,
- sensing volume data integration for each sensor, and
- summary tables and figures for model evaluation.
The workflow is based on linear calibration relationships for volumetric water content and uses independent calibration and validation datasets. The study also evaluated sensor response under controlled temperature conditions from 2°C to 40°C and quantified sensor sensing volume using radial and axial response tests. :contentReference[oaicite:2]{index=2}
The code generates:
- calibrated volumetric water content estimates,
- calibration and validation performance metrics,
- temperature response summaries,
- sensing volume summaries for each sensor, and
- figures and tables used to interpret sensor performance.
Cominelli, S., et al. Calibration of TEROS 10 and TEROS 12 electromagnetic soil moisture sensors. Soil Science Society of America Journal (2024). DOI: 10.1002/saj2.20777.