RGPR — An open-source package to process and visualize GPR data

Huber, Emanuel; Hans, Guillaume

doi:10.1109/icgpr.2018.8441658

Cited by 13 publications

(8 citation statements)

References 4 publications

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“…The data are processed with the open‐source software package RGPR (Huber and Hans ) following the processing workflow displayed in Table . The first seven processing steps aim to increase the signal‐to‐noise ratio and correct for low‐frequency trends as well as amplitude attenuation.…”

Section: Methodsmentioning

confidence: 99%

Imaging scours in straightened and braided gravel‐bed rivers with ground‐penetrating radar

Huber

Anders

Huggenberger

2019

Near Surface Geophysics

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The genesis of alternate gravel bars in straightened rivers and braided rivers is closely coupled to the formation of scours. Scours can lead to riverbank failure, initiate lateral river dynamics and strongly impact the interaction between surface and subsurface flow and transport. It is, therefore, critical to account for scours in the design of flood protection measures. However, there is still little knowledge on the formation and characteristics of such scours, especially on the dynamic relationship between the riverbed morphology and the scours. Bathymetric riverbed surveys conducted at medium to low discharge may underestimate the real scour sizes and shapes if scours filled with sediments during waning discharge. Furthermore, the literature suggests that gravel bars and scours can jointly migrate on the riverbed, resulting in cut‐and‐fill sedimentary structures in the near subsurface. These cut‐and‐fill structures cannot be observed from the surface. We investigate with ground‐penetrating radar the presence of scour fills below the riverbed of two gravel‐bed rivers and study any indications of bar and scour migration. Thus, two ground‐penetrating radar surveys were conducted, one on the emerged part of an alternate bar of the channelized Alpine Rhine River (Switzerland) and the other on a flat gravel surface in a braided reach of the Tagliamento River (Italy) that is near the pristine state. At both sites, a scour fill could be clearly identified below a 2‐m‐thick sediment layer. The imaged part of the scour of the Alpine Rhine River (30 × 100 × 4.5 m) is located at the front end of the gravel bar next to the riverbank. This scour was only partially imaged by ground‐penetrating radar and is in reality significantly deeper and larger. The scour of the Tagliamento River (20 × 30 × 2.5 m) shows a clear internal structure consisting of inclined, planar cross‐beds that merge tangentially with the lower‐bounding erosional surface of the scour. At the light of the literature, we compare these two scours in terms of sedimentary processes resulting from the complex interplay between scours and gravel bars. The study findings offer a promising research avenue on the dynamic relationship between discharge, sediment transport, scour and bar formation and migration.

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Section: Methodsmentioning

confidence: 99%

Imaging scours in straightened and braided gravel‐bed rivers with ground‐penetrating radar

Huber

Anders

Huggenberger

2019

Near Surface Geophysics

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“…The GPR data were acquired with a PulseEkko Pro GPR system (Sensors & Software Inc., Mississauga, Canada) using 100 MHz antennas and a measurement spacing of 0.25 m. A common mid-point (CMP) was performed to estimate the mean GPR velocity. The data processing steps are described in Table 3 and they were carried out with the RGPR package (Huber and Hans, 2017). The migrated section corresponding to the REF01 profile is presented in Figure 3a.…”

Section: Gpr Data Acquisition and Processingmentioning

confidence: 99%

Reduction of conceptual model uncertainty using ground-penetrating radar profiles: Field-demonstration for a braided-river aquifer

Pirot

Huber

Irving

et al. 2019

Journal of Hydrology

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Hydrogeological flow and transport strongly depend on the connectivity of subsurface properties. Uncertainty concerning the underlying geological setting, due to a lack of field data and prior knowledge, calls for an evaluation of alternative geological conceptual models. To reduce the computational costs associated with inversions (parameter estimation for a given conceptual model), it is beneficial to rank and discard unlikely conceptual models prior to inversion. Here, we demonstrate an approach based on a quantitative comparison of groundpenetrating radar (GPR) sections obtained from field data with corresponding simulation results arising from various geological scenarios. The comparison is based on three global distance measures related to wavelet decomposition, multiple-point histograms, and connectivity that capture geometrical characteristics of geophysical reflection images. Using field data from the Tagliamento braided river system, Italy, we demonstrate that seven out of nine considered geological scenarios can be discarded as they produce GPR sections that are incompatible with those observed in the field. The retained scenarios reproduce important features such as cross-stratified deposits and irregular property interfaces. The most convenient distance measure of those considered is the one based on wavelet-decomposition. Direct analysis of the distances is the most intuitive and fastest way to compare scenarios.

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“…GPR data must be stored in a specified folder so that the program created can directly accesses to the data in the previously defined folder. The data used in this study are data in [2]. The format of existing data that will be processed is a data in matrix format which the data characteristics defined in the program are:…”

Section: A Data Preparation Processmentioning

confidence: 99%

“…Several studies have been conducted on GPR. Both from the hardware side, namely the antenna, and from the software side [2]. On the hardware side, research that has been conducted was about the selection of the GPR working frequency.…”

Section: Introductionmentioning

confidence: 99%

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The Development of Ground Penetrating Radar (GPR) Data Processing

Maruddani¹,

Sandi²

2019

IJMLC

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Ground Penetrating Radar (GPR) is one of radar types that is often used to determine conditions inside or below some surface. GPR is also commonly used as a material evaluation tool by its trait as a non-destructive testing (NDT). One of the most important sections of GPR is signal processing system or GPR data processing that will filter all of the GPR survey results. Reflection signals gained by the radar antenna are then filtered to discover any objects located below the ground surface. The better the process in filtering data, the more accurate the GPR interprets the gained signal. This study aims to design a GPR data processing system that is sufficiently be able to interpret the gained signal so that it can accurately discover any objects located on the ground. This GPR data processing system is expected to work on a variety of frequencies and the application can be developed in various types. The aims of this study are designing and modifying the GPR data processing system.

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RGPR — An open-source package to process and visualize GPR data

Cited by 13 publications

References 4 publications

Imaging scours in straightened and braided gravel‐bed rivers with ground‐penetrating radar

Imaging scours in straightened and braided gravel‐bed rivers with ground‐penetrating radar

Reduction of conceptual model uncertainty using ground-penetrating radar profiles: Field-demonstration for a braided-river aquifer

The Development of Ground Penetrating Radar (GPR) Data Processing

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