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@ARTICLE{Klotzsche:866395,
author = {Klotzsche, Anja and Vereecken, Harry and van der Kruk, Jan},
title = {{R}eview of crosshole ground-penetrating radar
full-waveform inversion of experimental data: {R}ecent
developments, challenges, and pitfalls},
journal = {Geophysics},
volume = {84},
number = {6},
issn = {1942-2156},
address = {Alexandria, Va.},
publisher = {GeoScienceWorld},
reportid = {FZJ-2019-05549},
pages = {H13 - H28},
year = {2019},
abstract = {Heterogeneous small-scale high-contrast layers and spatial
variabilities of soil properties can have a large impact on
flow and transport processes in the critical zone. Because
their characterization is difficult and critical,
high-resolution methods are required. Standard ray-based
approaches for imaging the subsurface consider only a small
amount of the measured data and suffer from limited
resolution. In contrast, full-waveform inversion (FWI)
considers the full information content of the measured data
and could yield higher resolution images in the
subwavelength scale. In the past few decades,
ground-penetrating radar (GPR) FWI and its application to
experimental data have matured, which makes GPR FWI an
established approach to significantly improve resolution.
Several theoretical developments were achieved to improve
the application to experimental data from crosshole GPR FWI.
We have determined the necessary steps to perform FWI for
experimental data to obtain reliable and reproducible
high-resolution images. We concentrate on experimental
crosshole GPR data from a test site in Switzerland to
illustrate the challenges of applying FWI to experimental
data and discuss the obtained results for different
development steps including possible pitfalls. Thereby, we
acknowledge out the importance of a correct time-zero
correction of the data, the estimation of the effective
source wavelet, and the effect of the choice of starting
models. The reliability of the FWI results is investigated
by analyzing the fit of the measured and modeled traces, the
remaining gradients of the final models, and validating with
independently measured logging data. Thereby, we found that
special care needs to be taken to define the optimal
inversion parameters to avoid overshooting of the inversion
or truncation errors.},
cin = {IBG-3 / JARA-HPC},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118 / $I:(DE-82)080012_20140620$},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / Better predictions with environmental
simulation models: optimally integrating new data sources
$(jicg41_20100501)$},
pid = {G:(DE-HGF)POF3-255 / $G:(DE-Juel1)jicg41_20100501$},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000501594400020},
doi = {10.1190/geo2018-0597.1},
url = {https://juser.fz-juelich.de/record/866395},
}