Locating Drainage Tiles at a Wetland Restoration Site within the Oak Openings Region of Ohio, United States Using UAV and Land Based Geophysical Techniques

Becker, Anna Maria; Becker, R. H.; Doro, Kennedy O.

doi:10.1007/s13157-021-01495-6

Cited by 10 publications

(13 citation statements)

References 31 publications

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“…The region was drained in the mid to late 1800s to establish farmlands and has primarily been used for growing corn, wheat and soyabeans since the 1940s. Besides the public ditches used to drain the area, clay and plastic drainage tiles have also been installed for removing water to promote crop growth within the farmland as typical of the midwestern region of the United States (Becker et al, 2021).…”

Section: Study Sitementioning

confidence: 99%

Estimating Soil Properties Distribution at a Restored Wetland Using Electromagnetic Imaging and Limited Soil Core Samples

et al. 2023

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Electromagnetic imaging (EMI) provides an e cient approach for characterizing variations in soil physicochemical properties at a high spatial resolution. While EMI has been widely used to estimate variations in soil properties in agricultural, geotechnical, and contaminated sites, limited applications have been reported for wetlands. This study assesses the use of EMI for estimating soil property distributions at a restored wetland in northwestern Ohio, USA. We acquired spatial distribution of soil apparent electrical conductivity (ECa) and apparent magnetic susceptibility (MSa) via EMI over a 162,000 m 2 restored wetland using an EM-38-MK2 instrument towed behind a utility terrain vehicle equipped with a differential ground positioning system. We collected twenty-two undisturbed soil samples and analyzed them in the laboratory for soil moisture (SMC), organic matter (SOM), porosity, bulk density, and texture. A least squares linear regression model was used to compare the correlation between each soil property with measured ECa and MSa while ECa was used to predict the distribution of SMC and SOM using the statistical model validated using the leave-one-out technique. We observed strong correlations between soil texture, SMC, and SOM, and ECa with SOM showing a slightly dominant control. This study shows that ECa can predict the distribution of SMC and SOM in wetland soils to an accuracy of ~ 67-70% for these datasets. The spatial ECa patterns matched the USDA soil map for the site. This study validates the potential of extending EMI for characterizing wetland soil properties, improving sampling plans, and extrapolating soil property estimates to unsampled regions.

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Section: Study Sitementioning

confidence: 99%

Estimating Soil Properties Distribution at a Restored Wetland Using Electromagnetic Imaging and Limited Soil Core Samples

et al. 2023

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“…1A, 2C). Sand thickness ranges from 4-6 m at SHC and KTNP, and is underlain by ner-grained sediment (Campbell et al, 2011;Higley et al, 2014;Becker et al, 2021).…”

Section: Study Areamentioning

confidence: 99%

“…Besides the resistivity data acquired at the STAR site, 1-D and 2-D electrical resistivity data acquired by Okoko et al (2021) at the WWPM and 2-D resistivity data acquired by Becker et al (2021) at the SHC site were used in this study. These resistivity data were acquired using a dipole-dipole electrode array with settings similar to that described above.…”

Section: Electrical Resistivitymentioning

confidence: 99%

Combining geophysical and geological datasets to improve a conceptual aquifer model of the Oak Openings Region in northwest Ohio, USA

Ogunkoya,

Martin-Hayden,

Fisher

et al. 2023

Environ Earth Sci

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In this study, geophysical and geologic data were combined to develop a 3D conceptual hydrogeological model of a section of the Oak Openings Region (OOR) in northwest Ohio with a globally rare ecosystem of oak savanna and grassland prairie. The presence of a rhythmically laminated silt and clay unit underlying the study area is now widely realized. Assessing the in uence of this unit on the interaction between shallow uncon ned, sandy, and con ned carbonate bedrock aquifers requires an appropriate groundwater model. A rst step to this is to update the current conceptual hydrogeological model of the region, which either neglects the rhythmites or combines it with the till as a single hydrogeological unit. To do this, twenty electrical resistivity soundings and eleven 166 m long 2D transects of electrical resistivity data were combined with refraction seismic data acquired along a 96 m long transect. The geophysics results were validated with lithological data from a public database and two wells drilled during the study. A digital elevation model and stratigraphic layers extracted from the geophysics result were used to create a 3D site model. The model shows four layers consisting of a carbonate bedrock aquifer, con ning till layer, rhythmically laminated silt and clay, and a sandy aquifer in a bottom-up sequence. The rhythmites consist of horizontal laminae that are more permeable than the underlying till. Combining geophysics with geologic data distinguished the till from rhythmites and de nes the hydrostratigraphic layers used to re ne the aquifer conceptual model across sections of the OOR.

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“…Soil moisture, soil organic matter, soil texture, crop residue, and tillage practices, however, also affect the reflectance and, therefore, the accuracy of automated tile mapping using aerial imagery (Andrade, 2013; Freeland et al., 2019; Naz & Bowling, 2008; Naz et al., 2009). Recent studies utilized UAVs (unmanned aerial vehicles) equipped with various cameras (i.e., visible, thermal, and multispectral) for mapping subsurface tile lines (Allred et al., 2021, 2020; Becker et al., 2021; Freeland et al., 2019; Kratt et al., 2020; Tilahun & Syoum, 2021). The efficiency and success of UAV technology in mapping subsurface tile lines are impacted by the existence of linear features due to the farm operations, type of camera used, and variation in spatial and temporal properties such as water content, soil type, and vegetation (Allred et al., 2020; Naz et al., 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Indiana, with approximately 50% artificially drained cropland, is the highest in the nation (Pavelis, 1987). Accurate maps of preexisting tile lines are not only important for agronomic and environmental research but also for the maintenance and repair of current drainage systems, and for reference during the installation of new tile lines in previously tiled fields (Becker et al., 2021; Gökkaya et al., 2017; Tilahun & Syoum, 2021). In many cases, however, the locations of existing tile lines are not known exactly because maps of their locations were not made, the original maps have been lost, or the tile lines were inaccurately georeferenced.…”

Section: Introductionmentioning

confidence: 99%

Mapping subsurface tile lines on a research farm using aerial photography, paper maps, and expert knowledge

Rahmani

Schulze

2023

Agrosystems Geosci & Env

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Accurate maps of subsurface tile drainage lines are needed for agronomic and environmental research studies and the maintenance of current tile drainage systems. In this study, tile lines at the Purdue University Agronomy Center for Research and Education near West Lafayette, Indiana were located using a combination of visual aerial photo interpretation, expert knowledge, and paper construction drawings. The mapping accuracy was assessed at 27 locations where tile lines were located physically using a tile probe. Tile lines were correctly predicted 89% of the time with an average spatial accuracy of ±1.23 m of the true tile locations. This approach was better than a previous tile line location map prepared using an automated remote sensing method, which had an average spatial accuracy of ±2.12 m.

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Locating Drainage Tiles at a Wetland Restoration Site within the Oak Openings Region of Ohio, United States Using UAV and Land Based Geophysical Techniques

Cited by 10 publications

References 31 publications

Estimating Soil Properties Distribution at a Restored Wetland Using Electromagnetic Imaging and Limited Soil Core Samples

Estimating Soil Properties Distribution at a Restored Wetland Using Electromagnetic Imaging and Limited Soil Core Samples

Combining geophysical and geological datasets to improve a conceptual aquifer model of the Oak Openings Region in northwest Ohio, USA

Mapping subsurface tile lines on a research farm using aerial photography, paper maps, and expert knowledge

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