Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Slob, Evert

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2022Physically Constrained 2D Joint Inversion of Surface and Body Wave Tomography1citations
  • 2018Theory for 1D full waveform inversion of surface GPR datacitations
  • 2016Original and pyrometamorphical altered Bentheimer sandstone19citations
  • 2015Determination, by using GPR, of the volumetric water content in structures, substructures, foundations, and soil32citations
  • 2011Reconstruction of sub-wavelength fractures and physical properties of masonry media full-waveform inversion of proximal penetrating radar34citations
  • 2010Stochastic joint inversion of 2D seismic and seismoelectric signals in linear poroelastic materials: A numerical investigation72citations
  • 2007Capillary pressure as a unique function of electric permittivity and water saturation6citations
  • 2006Estimating electric permittivity from GPR surface reflection data for water content estimates1citations

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Karimpour, Mohammadkarim
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Socco, Laura Valentina
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Peksa, Anna
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Wolf, Karl-Heinz
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Chmura, Lukasz
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Zitha, Pacelli
1 / 9 shared
Tosti, Fabio
1 / 4 shared
Lambot, Sãbastien
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Patriarca, Claudio
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Mahmoudzadeh Ardekani, Mohammad Reza
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Minet, Julien
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Revil, André
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Söllner, Walter
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Jardani, Abderrahim
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Bruining, Johannes
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Turnhout, Jan Van
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Plug, Willem-Jan
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Lambot, Sébastien
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Co-Authors (by relevance)

  • Karimpour, Mohammadkarim
  • Socco, Laura Valentina
  • Peksa, Anna
  • Wolf, Karl-Heinz
  • Chmura, Lukasz
  • Zitha, Pacelli
  • Tosti, Fabio
  • Lambot, Sãbastien
  • Patriarca, Claudio
  • Mahmoudzadeh Ardekani, Mohammad Reza
  • Minet, Julien
  • Revil, André
  • Söllner, Walter
  • Jardani, Abderrahim
  • Bruining, Johannes
  • Turnhout, Jan Van
  • Plug, Willem-Jan
  • Lambot, Sébastien
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document

Estimating electric permittivity from GPR surface reflection data for water content estimates

  • Slob, Evert
  • Lambot, Sébastien
Abstract

<p>Estimating surface water content from GPR data requires first an accurate estimate of the electric permittivity that can be attributed to a small depth range below the surface. Only when this is achieved does it make to sense to try and relate the permittivity to water content, which will then be surface water content. For small and large scale investigations, suitable methods are available. For the intermediate field or watershed scale, GPR is the most researched method. We briefly go through the most promising method available now using GPR surface reflection data calibrated by metallic plate reflections. We summarize the assumption underlying the common surface reflection model and extend the model by relaxing some of the assumptions, without the need of performing full waveform inversion. We find that the plane wave reflection coefficient approximation holds quite well over a wide frequency range, while keeping the antenna at sufficient height above the surface that is already necessary due to other assumptions. We find that extending the model to allow for frequency dependence also improves the permittivity estimate quite strongly in the high-frequency regime.</p>

Topics
  • impedance spectroscopy
  • surface