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024 7 _ |2 DOI
|a 10.1016/j.jhydrol.2011.12.034
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|a Engineering, Civil
084 _ _ |2 WoS
|a Geosciences, Multidisciplinary
084 _ _ |2 WoS
|a Water Resources
100 1 _ |0 P:(DE-HGF)0
|a Minet, J.
|b 0
245 _ _ |a Validation of ground penetrating radar full-waveform inversion for field scale soil moisture mapping
260 _ _ |a Amsterdam [u.a.]
|b Elsevier
|c 2012
300 _ _ |a 112 - 123
336 7 _ |a Journal Article
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440 _ 0 |0 3413
|a Journal of Hydrology
|v 424
|x 0022-1694
500 _ _ |3 POF3_Assignment on 2016-02-29
500 _ _ |a We 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.
520 _ _ |a Ground 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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653 2 0 |2 Author
|a Ground penetrating radar
653 2 0 |2 Author
|a Dielectric permittivity
653 2 0 |2 Author
|a Soil moisture
653 2 0 |2 Author
|a Uncertainties
653 2 0 |2 Author
|a Errors
653 2 0 |2 Author
|a Remote sensing
700 1 _ |0 P:(DE-HGF)0
|a Bogaert, P.
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Vanclooster, M.
|b 2
700 1 _ |0 P:(DE-Juel1)VDB54976
|a Lambot, S.
|b 3
|u FZJ
773 _ _ |0 PERI:(DE-600)1473173-3
|a 10.1016/j.jhydrol.2011.12.034
|g Vol. 424-425, p. 112 - 123
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|t Journal of hydrology
|v 424-425
|x 0022-1694
|y 2012
856 7 _ |u http://dx.doi.org/10.1016/j.jhydrol.2011.12.034
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