Estimating Topsoil Water Content of Clay Soils With Data From Time-Lapse Electrical Conductivity Surveys

Gonzalez, Miguel A.; Vanderlinden, Karl; Pachepsky, Yakov; Cervera, Juan Vicente Giráldez; Pérez, Antonio Jesús Espejo

doi:10.1097/ss.0b013e31824eda57

Cited by 17 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the low correlation between EC a and clay content ( r 2 = .14%) and between EC a and surface volumetric water content ( r 2 = .45) dissuaded us from using this single EC a survey to delineate MZs. The weak correlations in our dataset agree well with previous studies also involving observations of soil moisture on the same day of the EC a survey, in which the correlation between EC a and gravimetric water content for a single survey were also weak ( r 2 < .21; García et al., 2012). Single EC a surveys have been used to characterize the spatial variability of agricultural fields (Cambouris et al., 2006; Haghverdi et al., 2015; Johnson et al., 2003; Reyes et al., 2019), but MZs based on a single EC a survey can result in high intrazone soil moisture spatial variability and in highly fragmented zones of small area that would make precision farming operations difficult (Hedley & Yule, 2009).…”

Section: Resultssupporting

confidence: 91%

“…Single EC a surveys have been used to characterize the spatial variability of agricultural fields (Cambouris et al, 2006;Haghverdi et al, 2015; F I G U R E 6 Alternative delineation of management zones (MZs) using two soil moisture surveys (top), elevation (middle), and combined clay and sand fraction information (bottom) for Fields A (left), B (middle), and C (right) Johnson et al, 2003;Reyes et al, 2019), but MZs based on a single EC a survey can result in high intrazone soil moisture spatial variability and in highly fragmented zones of small area that would make precision farming operations difficult (Hedley & Yule, 2009). Recent evidence shows that multiple ECa surveys are required to improve the accuracy of soil moisture estimations based on EC a surveys (García et al, 2012;Huang et al, 2017).…”

Section: Delineation Of Mzs Using Proxy Variablesmentioning

confidence: 99%

See 1 more Smart Citation

A soil moisture‐based framework for guiding the number and location of soil moisture sensors in agricultural fields

Rossini

Ciampitti

Hefley

et al. 2021

Vadose Zone Journal

View full text Add to dashboard Cite

Soil moisture information is a key variable for guiding in-season management decisions in rainfed and irrigated agricultural systems. However, methods for deciding the number and location of soil moisture sensors (SMS) per field still remain poorly explored in the scientific literature. The goal of this study was to evaluate a quantitative framework based on soil moisture-based management zones (MZs) to determine the minimum number and tentative deployment location of SMS. Multiple spatially intensive (n > 100 observations) surveys of near-surface (0-12 cm) soil moisture were conducted during the fallow periods and early growing seasons of 2017, 2018, and 2019 on three agricultural fields using a calibrated handheld soil water reflectometer. The fuzzy C-means (FCM) clustering method was used to delineate MZs based on the soil moisture surveys, and the silhouette clustering evaluation method was used to identify the optimal number of MZs per field. Then, a sensor location index that considered the distance to the MZ boundaries and the FCM membership grade was developed to identify the tentative optimal deployment location of SMS. The proposed method effectively identified field areas with distinct soil moisture regimes and revealed the complex soil moisture spatial patterns that were not captured with elevation or soil texture alone. Dividing the fields using soil moisture-based MZ reduced the intrazone soil moisture spatial variability by about 50% compared with that of the entire field. In the three studied fields, a total of two SMS were sufficient to capture the salient soil moisture spatial regimes.

show abstract

Section: Resultssupporting

confidence: 91%

Section: Delineation Of Mzs Using Proxy Variablesmentioning

confidence: 99%

A soil moisture‐based framework for guiding the number and location of soil moisture sensors in agricultural fields

Rossini

Ciampitti

Hefley

et al. 2021

Vadose Zone Journal

View full text Add to dashboard Cite

show abstract

“…4a). In general, these results reflect the different characteristics of soil drying across the field and was consistent with previous studies (García et al, 2012;Martini et al, 2015;Pedrera-Parrilla et al, 2017) which found that a number of factors, including soil texture, topography, and vegetation were usually involved.…”

Section: Predicted H Dynamics Across the Field Using The Enkfsupporting

confidence: 92%

3D soil water nowcasting using electromagnetic conductivity imaging and the ensemble Kalman filter

Huang

McBratney

Minasny

2017

Journal of Hydrology

View full text Add to dashboard Cite

“…In addition, deeper sensing EM31 and DUALEM‐2 have been used to identify the location of failed septic systems (Lee et al, 2006) and map subsurface hydrologic dynamics (Zhu et al, 2010). In all of these studies, the interest has mostly been on the moisture content at a given time, but given water varies temporally, the use of EMI instruments to measure and map moisture content variation with time and thereby monitor water dynamics at the field level is an area of research that needs to be further explored (García et al, 2012; Zhu et al, 2010).…”

Section: Proximal Soil Sensingmentioning

confidence: 99%

Pedometrics Research in the Vadose Zone—Review and Perspectives

Minasny

Whelan

Triantafilis

et al. 2013

Vadose Zone Journal

View full text Add to dashboard Cite

Pedometrics is the application of mathematical and statistical methods for the study of the distribution and genesis of soils. Pedometrics research in the vadose zone comprises studies of the spatial and temporal dynamics of soil properties as a scientific challenge to increase our understanding of the processes at the earth's surface. While geostatistics has been the main topic of investigation, pedometrics in the vadose zone covers broader areas, which can be summarized in three main topics: (i) characterization of variability and prediction of variation of soil, (ii) sampling, measurement, and inferences of soil properties and processes, and (iii) dynamic spatiotemporal modeling. This review highlights some of the key common research areas for pedometrics in the vadose zone, showing the synergy between pedometrics and vadose zone science. A strength of pedometrics is estimating the spatial distribution of soil properties using empirical approaches. However, pedometrics needs to incorporate process‐based knowledge, which adds the pedological and physical significance to the statistical robustness of predictions. A natural collaboration would therefore be with vadose zone scientists. Dynamic spatiotemporal modeling in a Bayesian hierarchical modeling framework provides a platform that will enhance collaboration between both disciplines. A future collaborative project can be envisaged to develop a global vadose zone model simulating fluxes and stores of soil water, solute, heat, and gas to address globally important issues.

show abstract

Estimating Topsoil Water Content of Clay Soils With Data From Time-Lapse Electrical Conductivity Surveys

Cited by 17 publications

References 2 publications

A soil moisture‐based framework for guiding the number and location of soil moisture sensors in agricultural fields

A soil moisture‐based framework for guiding the number and location of soil moisture sensors in agricultural fields

3D soil water nowcasting using electromagnetic conductivity imaging and the ensemble Kalman filter

Pedometrics Research in the Vadose Zone—Review and Perspectives

Contact Info

Product

Resources

About