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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Slob, Evert
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Topics
Publications (8/8 displayed)
- 2022Physically Constrained 2D Joint Inversion of Surface and Body Wave Tomographycitations
- 2018Theory for 1D full waveform inversion of surface GPR data
- 2016Original and pyrometamorphical altered Bentheimer sandstonecitations
- 2015Determination, by using GPR, of the volumetric water content in structures, substructures, foundations, and soilcitations
- 2011Reconstruction of sub-wavelength fractures and physical properties of masonry media full-waveform inversion of proximal penetrating radarcitations
- 2010Stochastic joint inversion of 2D seismic and seismoelectric signals in linear poroelastic materials: A numerical investigationcitations
- 2007Capillary pressure as a unique function of electric permittivity and water saturationcitations
- 2006Estimating electric permittivity from GPR surface reflection data for water content estimatescitations
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document
Estimating electric permittivity from GPR surface reflection data for water content estimates
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>