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Velocity analysis from common offset GPR data inversion: theory and application to synthetic and real data

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TLDR
In this paper, the authors implemented a procedure to estimate the electromagnetic (EM) velocity using common offset ground penetrating radar (GPR) data, which is based on the inversion of reflection amplitudes.
Abstract
We implemented a procedure to estimate the electromagnetic (EM) velocity using common offset ground penetrating radar (GPR) data. The technique is based on the inversion of reflection amplitudes to compute the series of reflection coefficients used to estimate the velocity in each interpreted layer. The proposed method recursively calculates the incident angles at any interface, taking into account the offset between antennas, and needs as input, in addition to the picked amplitudes values, a reference amplitude for each analysed GPR trace and a velocity value for the first (shallowest) layer. The latter two parameters can be estimated directly from the available data or can be better constrained by further dedicated GPR acquisitions or by additional direct measurements. We critically evaluated the performances for both synthetic and real data acquired with different antenna frequencies and we demonstrated that the new method can be applied in several real situations. Despite the necessary approximations and simplifying hypotheses, the velocity values calculated for each layer are consistent with direct information and with cross-validations obtained considering profiles acquired using different antennas and various path directions. Tests of the method on synthetic and real data sets show that the errors in the calculated velocity fields are quite low and comparable with more demanding velocity analysis techniques. The obtained EM velocity field is crucial in many processing steps, such as, for example, true amplitude recovery, depth conversion and imaging, and provide essential information to characterize the subsurface materials.

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Citations
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Journal ArticleDOI

Review of multi-offset GPR applications

TL;DR: Coherent noise suppression and velocity analysis are key features in GPR multi-fold processing sequences and the relevant methods are reviewed, with examples of application in addition to technical aspects.
Journal ArticleDOI

Geomorphic influence on small glacier response to post-Little Ice Age climate warming: Julian Alps, Europe

TL;DR: In this article, the evolution of glaciers and ice patches, as well as the equilibrium-line altitude (ELA) since the Little Ice Age (LIA) maximum were investigated in the Julian Alps (south-eastern European Alps) including ice masses that were previously unreported.
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Evaluation of Internal Structure, Volume and Mass of Glacial Bodies by Integrated LiDAR and Ground Penetrating Radar Surveys: The Case Study of Canin Eastern Glacieret (Julian Alps, Italy)

TL;DR: In this article, an integrated methodology to image the internal structure, evaluate the volume and estimate the densities of different units within ice bodies, useful for more precise mass estimation of very small glaciers is proposed.
Journal ArticleDOI

High-resolution glacier imaging and characterization by means of GPR attribute analysis

TL;DR: In this article, the applicability and effectiveness of GPR attribute analysis for high-resolution glacier imaging and characterization is evaluated. And the results demonstrate that the developed GPR attributes can provide significant improvements in the discrimination of Gpr signals, and obtain enhanced and more constrained data interpretations.
Journal ArticleDOI

Subsurface polarimetric migration imaging for full polarimetric ground-penetrating radar

TL;DR: Feng et al. as mentioned in this paper proposed a method to solve the problem of global climate change by using the Earth Resources Laboratory at MIT's Department of Earth, Atmospheric and Planetary Sciences.
References
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Electromagnetic determination of soil water content: Measurements in coaxial transmission lines

TL;DR: The dependence of the dielectric constant, at frequencies between 1 MHz and 1 GHz, on the volumetric water content is determined empirically in the laboratory as discussed by the authors, and the effect of varying the texture, bulk density, temperature, and soluble salt content on this relationship was also determined.
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Ground-penetrating radar for high-resolution mapping of soil and rock stratigraphy

TL;DR: In this article, the basic principles and practices involved in acquiring high-quality radar data in the field are illustrated by selected case histories, showing how radar has been used to map the bedrock and delineate soil horizons to a depth of more than 20 m.
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TL;DR: In this paper, the Bruggeman and Bottcher equation for the dielectric constant of a heterogeneous system is reconsidered and a theoretical model is designed from which both formulae can be derived.