Proximal soil moisture sensing of dairy pasture

Tan, Ah-Hwee; Richards, Sean; Sarrabezolles, Louise; Platt, Ian; Woodhead, Ian

doi:10.1109/cama.2014.7003402

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…• Maps created with uncalibrated sensors had zones of erroneously high water content. (Tan et al, 2014) and cosmic-ray neutron detectors (Patrignani et al, 2021;Vather et al, 2019).…”

Section: Core Ideasmentioning

confidence: 99%

“…In recent years, soil water reflectometers from the CS65x series have been adopted in core calibration–validation sites of the NASA Soil Moisture Active Passive satellite mission (Caldwell et al., 2018), in core calibration–validation sites of a new near‐surface soil moisture product for northern boreal forests developed by the European Space Agency's (ESA) Climate Change Initiative (Ikonen et al., 2018), in small catchment‐scale networks aimed at better understanding the role of soil moisture in herbaceous fuel moisture and curing rates in a tallgrass prairie in the U.S. Great Plains (Sharma et al., 2020), and have been adopted for long‐term monitoring of rootzone soil water storage by mesoscale environmental monitoring networks like the Kansas Mesonet (Patrignani et al., 2020). Similarly, portable soil water reflectometers have been used to delineate soil moisture‐based field management zones in agricultural fields (Rossini et al., 2021), explore the hydrologic connection between snowmelt runoff and streamflow (Kampf et al., 2015), and to calibrate and validate proximal soil moisture sensors like impulse radar sensors (Tan et al., 2014) and cosmic‐ray neutron detectors (Patrignani et al., 2021; Vather et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

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Calibration and validation of soil water reflectometers

Patrignani

Ochsner

Feng

et al. 2022

Vadose Zone Journal

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In this study, we tested soil water reflectometers represented by the CS65x series soil water reflectometers. The objectives were to (a) quantify the sensing volume of the CS65x sensors, (b) evaluate common univariate and multivariate calibration models, and (c) assess the implications of using uncalibrated sensors. The support volume was determined by analyzing the response of the bulk dielectric permittivity to a changing amount of surrounding media in the radial and axial directions of the sensor. Calibration models were tested using a dataset of ∼300 soil samples spanning nine soil textural classes. A time series of rootzone soil water storage recorded in two contrasting soils and two intensive (n ∼300) spatial surveys of near-surface soil moisture were used to quantify the implications of using uncalibrated sensors. The electromagnetic signal of CS655 was concentrated within a ∼3.5-cm radius around the center of the sensor rods. Univariate and multivariate calibration equations reduced the mean absolute error (MAE) in soil moisture observations by ∼40% compared with factory default equations. Uncalibrated sensors did not change the pattern of soil moisture temporal dynamics but resulted in a strong bias in soil water storage in a silty clay loam soil and altered the soil moisture spatial patterns obtained in moderate to wet field conditions in a silty clay soil. The CS655 sensor with the Kargas and Soulis calibration equation (MAE = 0.026 cm 3 cm −3 ) appears to be an acceptable candidate for deployment in soil moisture monitoring networks seeking to avoid site-specific sensor calibrations.

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“…• Maps created with uncalibrated sensors had zones of erroneously high water content. (Tan et al, 2014) and cosmic-ray neutron detectors (Patrignani et al, 2021;Vather et al, 2019).…”

Section: Core Ideasmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Calibration and validation of soil water reflectometers

Patrignani

Ochsner

Feng

et al. 2022

Vadose Zone Journal

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“…We applied this technology in the development of proximal soil moisture mapping sensor [8,9]. The sensor's operation can be briefly described as follows: It actively probes the ground with electromagnetic pulses, measures the signals that are scattered or reflected, and processes them to estimate the soil moisture content.…”

Section: Introductionmentioning

confidence: 99%

On-irrigator pasture soil moisture sensor

Tan¹,

Richards²,

Platt³

et al. 2017

Meas. Sci. Technol.

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In this paper, we presented the development of a proximal soil moisture sensor that measured the soil moisture content of dairy pasture directly from the boom of an irrigator. The proposed sensor was capable of soil moisture measurements at an accuracy of ±5% volumetric moisture content, and at meter scale ground area resolutions. The sensor adopted techniques from the ultra-wideband radar to enable measurements of ground reflection at resolutions that are smaller than the antenna beamwidth of the sensor. An experimental prototype was developed for field measurements. Extensive field measurements using the developed prototype were conducted on grass pasture at different ground conditions to validate the accuracy of the sensor in performing soil moisture measurements.

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