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000021352 084__ $$2WoS$$aEngineering, Civil
000021352 084__ $$2WoS$$aGeosciences, Multidisciplinary
000021352 084__ $$2WoS$$aWater Resources
000021352 1001_ $$0P:(DE-HGF)0$$aMinet, J.$$b0
000021352 245__ $$aValidation of ground penetrating radar full-waveform inversion for field scale soil moisture mapping
000021352 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2012
000021352 300__ $$a112 - 123
000021352 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000021352 440_0 $$03413$$aJournal of Hydrology$$v424$$x0022-1694
000021352 500__ $$3POF3_Assignment on 2016-02-29
000021352 500__ $$aWe acknowledge Guido Rentmeesters for the GPR platform construction. The research presented in this paper was funded by the Belgian Science Policy Office in the frame of the Stereo II programme - project SR/00/100 (HYDRASENS), the DIGISOIL project financed by the European Commission under the 7th Framework Programme for Research and Technological Development, Area "Environment", Activity 6.3 "Environmental Technologies", and the Fonds de la Recherche Scientifique (FNRS), Belgium.
000021352 520__ $$aGround penetrating radar (GPR) is an efficient method for soil moisture mapping at the field scale, bridging the scale gap between small-scale invasive sensors and large-scale remote sensing instruments. Nevertheless, commonly-used GPR approaches for soil moisture characterization suffer from several limitations and the determination of the uncertainties in GPR soil moisture sensing has been poorly addressed. Herein, we used a proximal GPR method based on full-waveform inversion of ultra-wideband radar data for mapping soil moisture and we evaluated uncertainties in the soil moisture maps by three methods. First, GPR-derived soil moisture uncertainties were computed from GPR data inversions, according to measurements and modeling errors, and to the sensitivity of the electromagnetic model to soil moisture. Second, the repeatability of soil moisture mapping was evaluated. Third, GPR-derived soil moisture was compared with ground-truth measurements (soil core sampling). The proposed GPR method appeared to be highly precise and accurate, with a spatially averaged GPR inversion uncertainty of 0.0039 m(3) m(-3), a repetition uncertainty of 0.0169 m(3) m(-3), and an uncertainty of 0.0233 m(3) m(-3) when compared with ground-truth measurements. These uncertainties were mapped and appeared to be related to some local model inadequacies and to small-scale variability of soil moisture. In a soil moisture mapping framework, the interpolation was found to be the main source of the observed uncertainties. The proposed GPR method was proven to be largely reliable in terms of accuracy and precision and appeared to be highly efficient for soil moisture mapping at the field scale. (C) 2012 Elsevier B.V. All rights reserved.
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000021352 65320 $$2Author$$aGround penetrating radar
000021352 65320 $$2Author$$aDielectric permittivity
000021352 65320 $$2Author$$aSoil moisture
000021352 65320 $$2Author$$aUncertainties
000021352 65320 $$2Author$$aErrors
000021352 65320 $$2Author$$aRemote sensing
000021352 650_7 $$2WoSType$$aJ
000021352 7001_ $$0P:(DE-HGF)0$$aBogaert, P.$$b1
000021352 7001_ $$0P:(DE-HGF)0$$aVanclooster, M.$$b2
000021352 7001_ $$0P:(DE-Juel1)VDB54976$$aLambot, S.$$b3$$uFZJ
000021352 773__ $$0PERI:(DE-600)1473173-3$$a10.1016/j.jhydrol.2011.12.034$$gVol. 424-425, p. 112 - 123$$p112 - 123$$q424-425<112 - 123$$tJournal of hydrology$$v424-425$$x0022-1694$$y2012
000021352 8567_ $$uhttp://dx.doi.org/10.1016/j.jhydrol.2011.12.034
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