Step-frequency ground penetrating radar for agricultural soil morphology characterisation

Soil morphology plays a fundamental role in the vertical and lateral movements of solutes and water transport, providing knowledge regarding spatial distribution of its textural properties and subsurface dynamics. In this framework, the measured values of electrical conductivity are able to reveal the heterogeneity of soil that is present in a particular agricultural field and they are affected by more than one important physical characteristic: soil texture, organic matter, moisture content, and the depth of the clay pan. In the microwave region, these dynamics are known to exhibit a frequency dependent behaviour. This study explores the application of a Step Frequency Continuous Wave Ground Penetrating Radar (SFCW GPR) to shed light on the practical impact that these dependencies have on the imaging results, not only regarding the electrical characterisation of the subsurface morphology, but also in its correct interpretation. This information is of notable importance for determining water-use efficiency and planning precision-agriculture programs. The results clearly show visible and significant fluctuations of the amplitude levels, depending on the considered central frequency, demonstrating that the frequency dependence of electromagnetic properties of heterogeneous soil are significant and cannot be ignored if the aim is to properly define the subsurface attributes. The measurements also suggest that correlating the delineated variations might help in the identification of extended features and the classification of areas that possess similar properties in order to increase the confidence in monitoring soil resource

Assessing the Perspectives of Ground Penetrating Radar for Precision Farming

The United Nations 2030 Agenda for Sustainable Development highlighted the importance of adopting sustainable agricultural practices to mitigate the threat posed by climate change to food systems around the world, to provide wise water management and to restore degraded lands. At the same time, it suggested the benefits and advantages brought by the use of near-surface geophysical measurements to assist precision farming, in particular providing information on soil variability at both vertical and horizontal scales. Among such survey methodologies, Ground Penetrating Radar has demonstrated its effectiveness in soil characterisation as a consequence of its sensitivity to variations in soil electrical properties and of its additional capability of investigating subsurface stratification. The aim of this contribution is to provide a comprehensive review of the current use of the GPR technique within the domain of precision irrigation, and specifically of its capacity to provide detailed information on the within-field spatial variability of the textural, structural and hydrological soil properties, which are needed to optimize irrigation management, adopting a variable-rate approach to preserve water resources while maintaining or improving crop yields and their quality. For each soil property, the review analyses the commonly adopted operational and data processing approaches, highlighting advantages and limitations

A Depth-Adaptive Filtering Method for Effective GPR Tree Roots Detection in Tropical Area

This study presents a technique for processing Stepfrequency continuous wave (SFCW) ground penetrating radar (GPR) data to detect tree roots. SFCW GPR is portable and enables precise control of energy levels, balancing depth and resolution trade-offs. However, the high-frequency components of the transmission band suffers from poor penetrating capability and generates noise that interferes with root detection. The proposed time-frequency filtering technique uses a short-time Fourier transform (STFT) to track changes in frequency spectrum density over time. To obtain the filter window, a weighted linear regression (WLR) method is used. By adopting a conversion method that is a variant of the chirp Z-Transform (CZT), the timefrequency window filters out frequency samples that are not of interest when doing the frequency-to-time domain data conversion. The proposed depth-adaptive filter window can selfadjust to different scenarios, making it independent of soil information and effectively determines subsurface tree roots. The technique is successfully validated using SFCW GPR data from actual sites in a tropical area with different soil moisture levels, and the two-dimensional (2D) radar map of subsurface root systems is highly improved compared to existing methods.Comment: 10 pages, 12 figures, Accepted by IEEE TI

GPR applications across Engineering and Geosciences disciplines in Italy: a review

In this paper, a review of the main ground-penetrating radar (GPR) applications, technologies, and methodologies used in Italy is given. The discussion has been organized in accordance with the field of application, and the use of this technology has been contextualized with cultural and territorial peculiarities, as well as with social, economic, and infrastructure requirements, which make the Italian territory a comprehensive large-scale study case to analyze. First, an overview on the use of GPR worldwide compared to its usage in Italy over the history is provided. Subsequently, the state of the art about the main GPR activities in Italy is deepened and divided according to the field of application. Notwithstanding a slight delay in delivering recognized literature studies with respect to other forefront countries, it has been shown how the Italian contribution is now aligned with the highest world standards of research and innovation in the field of GPR. Finally, possible research perspectives on the usage of GPR in Italy are briefly discussed

Bridging the scales: model-driven integrative interpretation of archaeological and geophysical data.

Geophysical prospecting in wetland environments is continuously under debate because of the critical unstable environment, but at the same time the richness in cultural heritage. This thesis is part of the interdisciplinary project SFB 1266 of the CRC ‘Scales of transformation’ at Kiel University, which focuses on reconstructing the prehistoric landscape transformation during human occupation. It aims to examine the potential for conventional geophysical survey methods (resistivity, ground penetrating radar and seismics) as site prospection and landscape investigation tools in peatland environments. Two case studies are presented in which multi-geophysical investigations have been performed and validated by archaeological excavations and stratigraphic information. Kettle holes are common ice decay features in formerly glacial landscapes like those in Southern Scandinavia and Northern Germany. In 2017 the Horsens Museum (Denmark) carried out a rescue excavation at Tyrsted which revealed Late Palaeolithic flint of the Bromme type (12.000-11.000 BCE) and worked reindeer antlers. Nowadays, the organic artefact inventory from the Bromme culture is largely unknown due to the scarcity of organic remains and the general lack of proper stratigraphic observations. The available dates concentrate in the (late) Allerød and early Younger Dryas chronozones, but unfortunately most of these dating are tentative only. Therefore, this connection in a Late Glacial horizon at Tyrsted is unique and it has the potential to provide new information in the current archaeological debate. The aim is to investigate a small kettle hole (site 8) using ground penetrating radar (GPR), electromagnetic induction (EMI) and electrical resistivity tomography (ERT) to estimate the extension of the feature. Shear wave reflection and refraction seismics (SH Seismics) were able to detect the whole shape and the bottom sediment of the former lake. Furthermore a seismic event is visible which can be associated to the transition between the Allerød and Younger Dryas sediment making the detection of the Bromme horizon possible. After the non invasive investigation, a location for an open excavation has been chosen in a way to groundtruth the geophysical results allowing the direct comparison with the stratigraphy. These results allow the archaeologists to identify key excavation areas focused on the investigation of the Allerød and Younger Dryas layers in a way to improve the dating information about the Bromme horizon collected so far. At the Mesolithic hunter-gatherers site of Duvensee (10000-6500 BCE) a multi methodological investigation has been carried out too, aiming to reconstruct the ancient landscape during human occupation. GPR, ERT and SH-Seismic have been performed together with corings, DP-EC logs and soil analyses as well for ground-truthing. It turned out that each method is able to distinguish between sediments that differ in grain size, in particular between peat, lake sediment (gyttjas and clay) and basal glacial sand deposits. GPR delivered the location of five former small sand hills that formed islands in the prehistoric lake where clusters of Mesolithic camps have been found. This study delivers depth maps of the three most important sedimentary facies interfaces and a 3D model of the spatio-temporal development of the Duvensee bog which agrees with the spatio-temporal pattern of the previous archaeological finds. GPR is even able to separate between high and low decomposed peat layers which is also clear considering resistivity variations in the ERT computation. From the association between geophysical properties and soil analyses (e.g. water content and organic matter) different gyttjas were distinguished and sismic velocity was correlated to bulk density. Values concerning electrical resistivity, dielectric permittivity, and shear wave velocity have been determined for each sediment and are therefore available to complete and improve the investigation of wetland environments. Both geophysical measurements and sediment analyses presented in this study can finally be useful to map lake sediments in wetland environments offering a potential to shape the common debate regarding wetland heritage management. This thesis concludes that geophysical prospection contributes to wetland archaeology as a tool for site detection and landscape interpretation. Future research should aim to further our understanding of the relationship between geophysical response and peatland soil properties, alongside a more extensive program of surveys and ground-truthing work to improve survey methodologies and archaeological interpretations

Assessment Of Ground Deformations Using Insar Techniques And Shallow Subsurface Imaging In Pulau Pinang, Malaysia

Ground deformation presents a significant threat to people's lives and properties in Pulau Pinang, Malaysia. It usually occurs when there is continuous heavy rainfall. Previous methods on this hazard were based on simulation, modelling, and geo-engineering issues. Still, none of them quantified the movements using the Interferometric Synthetic Aperture Radar (InSAR) technique. In this research, a combination of InSAR and geophysical techniques is introduced to assess the potential hazard zones and the possible causes in Pulau Pinang. This region was chosen for this research as it has high reflectivity and ground displacement potential. Permanent Scatterer- InSAR (PS-InSAR) and Small Baseline Subset- InSAR (SBAS-InSAR) techniques were used to monitor, quantify, and map the region’s deformations. Sixty ascending and fifty-six descending Sentinel-1A (S-1A) datasets obtained between 2016 and 2019 and nineteen descending ENVISAT ASAR acquired from 2003 to 2010 were processed and analysed. Electrical Resistivity (ER) and Ground Penetrating Radar (GPR) surveys were conducted at some selected sites based on InSAR deformation maps' results

Recent advances in tree root mapping and assessment using non-destructive testing methods: a focus on ground penetrating radar

This paper provides an overview of the existing literature on the subject of assessment and monitoring of tree roots and their interaction with the soil. An overview of tree root systems architecture is given, and the main issues in terms of health and stability of trees, as well as the impact of trees on the built environment, are discussed. An overview of the main destructive and non-destructive testing (NDT) methods is therefore given. The paper also highlights the lack of available research based outputs in the field of tree roots and soil interaction, as well as of the interconnectivity of tree roots with one another. Additionally, the effectiveness of non-destructive methods is demonstrated, in particular ground penetrating radar, in mapping tree root configurations and their interconnectivity. Furthermore, the paper references recent developments in estimating tree root mass density and health

MAPPING PREFERENTIAL FLOW PATHWAYS IN A RIPARIAN WETLAND USING GROUND-PENETRATING RADAR

Preferential flow of water through channels in the soil has been implicated as a vehicle for groundwater and surface water contamination in forested riparian wetland buffers. Water conducted through these by-pass channels can circumvent interaction with wetland biota, biomass, and soils, thereby reducing the buffering capacity of the riparian strips for adsorption and uptake of excess nutrient loads from neighboring agricultural fields and urbanized lands. Models of riparian function need to account for preferential flow to accurately estimate nutrient flux to stream channels, but there are currently no methods for determining the form and prevalence of these pathways outside of extensive destructive sampling. This research developed, tested, and validated a new application of non-invasive ground-penetrating radar technology (GPR) for mapping the three-dimensional structure of near-surface (0-1 m) lateral preferential flow channels. Manual and automated detection methodologies were created for analyzing GPR scan data to locate the channels in the subsurface. The accuracy of the methodologies was assessed in two field test plots with buried PVC pipes simulating the riparian channels. The manual methodology had a 0% Type I error rate and 8% Type II error rate; the automated version had a <1% Type I error rate and 29% Type II error rate. An automated mapping algorithm was also created to reconstruct channel geometries from the scan data detections. The algorithm was shown to robustly track the connectivity of PVC pipe segments arranged in a branching structure hypothesized to exist in the riparian soils. These methods and algorithms were then applied at a riparian wetland study site at USDA Beltsville Agricultural Research Center in Beltsville, MD. The predicted structure of preferential flow channels in the wetland was validated by transmission of tracer dye through the study site and ground truth generated from soil core samples (92% accurate). These GPR tools will enable researchers to efficiently and effectively characterize lateral preferential flow without negatively impacting environmentally sensitive wetland areas. Scientists can now directly study these flow mechanisms to investigate the effects of by-pass pathways on nutrient fate in riparian buffers and the interactions of preferential flow with plant and animal systems

Detecting graves in GPR data: assessing the viability of machine learning for the interpretation of graves in B-scan data using medieval Irish case studies.

As commercial archaeogeophysical survey progressively shifts towards large landscape-scale surveys, small features like graves become more difficult to identify and interpret. In order to increase the rate and confidence of grave identification before excavation using geophysical methods, the accuracy and speed of survey outputs and reporting must be improved. The approach taken in this research was first to consider the survey parameters that govern the effectiveness of the four conventional techniques used in commercial archaeogeophysical evaluations (magnetometry, earth resistance, electromagnetic induction and ground-penetrating radar). Subsequently, in respect of ground-penetrating radar (GPR), this research developed machine learning applications to improve the speed and confidence of detecting inhumation graves. The survey parameters research combined established survey guidelines for the UK, Ireland, and Europe to account for local geology, soils and land cover to provide survey guidance for individual sites via a decision-based application linked to GIS database. To develop two machine learning tools for localising and probability scoring grave-like responses in GPR data, convolutional neural networks and transfer learning were used to analyse radargrams of medieval graves and timeslices of modern proxy clandestine graves. Models were c. 93% accurate at labelling images as containing a grave or no grave and c. 96% accurate in labelling and locating potential graves in radargram images. For timeslices, machine learning models achieved 94% classification accuracy. The >90% accuracy of the machine learning models demonstrates the viability of machine-assisted detection of inhumation graves within GPR data. While the expansion of the training dataset would further improve the accuracy of the proposed methods, the current machine-led interpretation methods provide valuable assistance for human-led interpretation until more data becomes available. The survey guidance tool and the two machine learning applications have been packaged into the Reilig web application toolset, which is freely available

Combined electrical resistivity tomography and ground penetrating radar to map Eurasian badger (Meles Meles) burrows in clay-rich flood embankments (levees)

Globally, earth embankments are used to protect against flooding. Raised above the surrounding water table, these embankments make ideal habitats for many burrowing animals whose burrows can impact their structural integrity. Ground Penetrating Radar (GPR) is commonly used to identify and map animal burrows and other small cavities. However, the depth of investigation of a GPR survey can be severely limited in saline and clay-rich environments, soil properties commonly associated with flood embankments. In contrast, Electrical Resistivity Tomography (ERT) can image subsurface voids in conductive ground conditions but has been rarely used to image animal burrows. Here we aim to assess the efficacy of ERT and GPR to image two badger burrow networks, called ‘setts’, located in clay embankments on the River Ouse, Yorkshire, UK. The two setts were excavated to validate the geophysical results, and the soil was characterised through logging and geotechnical analysis to develop a ground model of the site. We find that ERT can accurately resolve tunnels down to 1.5 m depth, map the structure of a multi-entrance badger sett and successfully identify the end of the tunnels. This result compares favourably to the GPR surveys, which mapped all but the deepest tunnels, limited by its penetration depth due to clay soils. Our results show that ERT can be used as a primary survey tool for animal burrows in clay-rich environments and can be validated using co-located GPR surveys if penetration depth is sufficient. The implications of this study may allow embankment managers to map burrow networks, assess flood embankment stability, minimise repair costs, and reduce unexpected failures during flood events. Additionally, a better understanding of how, for example, local heterogeneities impact badgers' burrow geometry may be achievable using these geophysical methods, as they provide a non-destructive, repeatable method for imaging setts