Dielectric constant determination using ground-penetrating radar reflection coefficients

Reppert, Philip M.; Morgan, Frank Dale; Toksöz, M. Nafi

doi:10.1016/s0926-9851(99)00058-0

Cited by 68 publications

(29 citation statements)

References 5 publications

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“…Because of orthogonal polarizations, the AVO responses of TE and TM modes are dramatically different, and quantifying these differences makes it possible to improve subsurface characterization. In TM mode AVO gradients are larger, and Brewster's angle ͑Griffiths, 1989; Reppert et al, 2000͒ can be observed. Because of these attributes, TM data are a more sensitive indicator of permittivity contrasts.…”

Section: The Thin-bed Problem In Gpr Avo Analysismentioning

confidence: 97%

Ground-penetrating radar theory and application of thin-bed offset-dependent reflectivity

Bradford

Deeds

2006

GEOPHYSICS

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Offset-dependent reflectivity or amplitude-variationwith-offset ͑AVO͒ analysis of ground-penetrating radar ͑GPR͒ data may improve the resolution of subsurface dielectric permittivity estimates. A horizontally stratified medium has a limiting layer thickness below which thin-bed AVO analysis is necessary. For a typical GPR signal, this limit is approximately 0.75 of the characteristic wavelength of the signal. Our approach to modeling the GPR thin-bed response is a broadband, frequency-dependent computation that utilizes an analytical solution to the three-interface reflectivity and is easy to implement for either transverse electric ͑TE͒ or transverse magnetic ͑TM͒ polarizations. The AVO curves for TE and TM modes differ significantly. In some cases, constraining the interpretation using both TE and TM data is critical. In two field examples taken from contaminated-site characterization data, we find quantitative thin-bed modeling agrees with the GPR field data and available characterization data.

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Section: The Thin-bed Problem In Gpr Avo Analysismentioning

confidence: 97%

Ground-penetrating radar theory and application of thin-bed offset-dependent reflectivity

Bradford

Deeds

2006

GEOPHYSICS

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“…Where the index number 1 refers to the material above the interface and 2 the material below (Reppert et al, 2000). A negative reflection coefficient relates to a shift in polarity of the wave.…”

Section: Processingmentioning

confidence: 99%

Thermal structure and drainage system of a small valley glacier (Tellbreen, Svalbard), investigated by ground penetrating radar

Bælum¹,

Benn

2011

The Cryosphere

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Abstract. Proglacial icings accumulate in front of many High Arctic glaciers during the winter months, as water escapes from englacial or subglacial storage. Such icings have been interpreted as evidence for warm-based subglacial conditions, but several are now known to occur in front of coldbased glaciers. In this study, we investigate the drainage system of Tellbreen, a 3.5 km long glacier in central Spitsbergen, where a large proglacial icing develops each winter, to determine the location and geometry of storage elements. Digital elevation models (DEMs) of the glacier surface and bed were constructed using maps, differential GPS and ground penetrating radar (GPR). Rates of surface lowering indicate that the glacier has a long-term mass balance of −0.6 ± 0.2 m/year. Englacial and subglacial drainage channels were mapped using GPR, showing that Tellbreen has a diverse drainage system that is capable of storing, transporting and releasing water year round. In the upper part of the glacier, drainage is mainly via supraglacial channels. These transition downglacier into shallow englacial "cut and closure" channels, formed by the incision and roof closure of supraglacial channels. Below thin ice near the terminus, these channels reach the bed and contain stored water throughout the winter months. Even though no signs of temperate ice were detected and the bed is below pressuremelting point, Tellbreen has a surface-fed, channelized subglacial drainage system, which allows significant storage and delayed discharge.

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“…The propagation characteristics of the ground medium determine the propagation velocity of the electromagnetic wave (EM velocity) and its attenuation as the wave propagates. Except for a few magnetic minerals, propagation in most ground media depends mainly on their electrical properties (e.g., LORENZO 1996;REPPERT and MORGAN 2000;LAPAZARAN 2004). Laser scanning is also a suitable measuring technique for monitoring the deformations of certain structures over time to ensure structural safety and guarantee the control of the structure (KEUMSUK et al 2007;BURNS et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Characterization of Cavities Using the GPR, LIDAR and GNSS Techniques

Conejo-Martín

Tejedor

Lapazaran

et al. 2014

Pure Appl. Geophys.

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The study of the many types of natural and manmade cavities in different parts of the world is important to the fields of geology, geophysics, engineering, architectures, agriculture, heritages and landscape. Ground-penetrating radar (GPR) is a noninvasive geodetection and geolocation technique suitable for accurately determining buried structures. This technique requires knowing the propagation velocity of electromagnetic waves (EM velocity) in the medium. We propose a method for calibrating the EM velocity using the integration of laser imaging detection and ranging (LIDAR) and GPR techniques using the Global Navigation Satellite System (GNSS) as support for geolocation. Once the EM velocity is known and the GPR profiles have been properly processed and migrated, they will also show the hidden cavities and the old hidden structures from the cellar. In this article, we present a complete study of the joint use of the GPR, LIDAR and GNSS techniques in the characterization of cavities. We apply this methodology to study underground cavities in a group of wine cellars located in Atauta (Soria, Spain). The results serve to identify construction elements that form the cavity and group of cavities or cellars. The described methodology could be applied to other shallow underground structures with surface connection, where LIDAR and GPR profiles could be joined, as, for example, in archaeological cavities, sewerage systems, drainpipes, etc.

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Dielectric constant determination using ground-penetrating radar reflection coefficients

Cited by 68 publications

References 5 publications

Ground-penetrating radar theory and application of thin-bed offset-dependent reflectivity

Ground-penetrating radar theory and application of thin-bed offset-dependent reflectivity

Thermal structure and drainage system of a small valley glacier (Tellbreen, Svalbard), investigated by ground penetrating radar

Characterization of Cavities Using the GPR, LIDAR and GNSS Techniques

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