HR: 14:25h
AN: H43J-04 [Abstracts]
TI: Identifying Surface Water Content From Full-Wave Inversion of off-Ground Monostatic Ground-Penetrating
Radar Signal
AU: * Lambot, S
EM: s.lambot@citg.tudelt.nl
AF: Department of Geotechnology, Delft University of Technology, Mijnbouwstraat 120, Delft, 2628 RX
Netherlands
AU: Weihermuller, L
EM: l.weihermueller@fz-juelich.de
AF: Agrosphere Institute, ICG IV, Forschungszentrum Julich, GmbH, Julich, 52425
Germany
AU: Huisman, J A
EM: s.huisman@fz-juelich.de
AF: Agrosphere Institute, ICG IV, Forschungszentrum Julich, GmbH, Julich, 52425
Germany
AU: Vanclooster, M
EM: vanclooster@geru.ucl.ac.be
AF: Department of Environmental Sciences and Land Use Planning, Universite catholique de Louvain, Croix du
Sud 2, box 2, Louvain-la-Neuve, 1348
Belgium
AU: Slob, E C
EM: e.c.slob@citg.tudelft.nl
AF: Department of Geotechnology, Delft University of Technology, Mijnbouwstraat 120, Delft, 2628 RX
Netherlands
AB:
Knowledge of the spatial distribution and dynamics of the shallow subsurface water content at a scale being relevant for the
understanding and management of the soil-plant-atmosphere system is essential in many agricultural and environmental
engineering applications. Existing techniques to characterize the inherently variable soil water content are either suited to
small scales, such as the gravimetric method or time domain reflectometry, or to large scales, such as airborne and
spaceborne passive microwave radiometry and active radar techniques. As yet, no practical method is available to measure the
variability of soil water content at field or watershed scales, which is crucial in applications that include agricultural
water management and soil and water conservation. In that respect, ground-penetrating radar (GPR) constitutes a tool with
great potential for mapping the soil water content at an intermediate scale.
Recently, Lambot et al. proposed a new promising approach for identifying the soil hydrogeophysical properties using
GPR. Relying on a conceptual GPR model, the method is based on full-wave inversion of the GPR signal in the frequency domain
for an off-ground monostatic antenna configuration. The approach has been successfully validated in laboratory conditions for
identifying both the dielectric permittivity and electric conductivity of a two-layered sandy soil subject to a range of
water contents, to identify a continuous water content profile in controlled outdoor conditions using hydrostatic concepts,
to monitor the dynamics of water in a sand column and subsequently derive the soil hydraulic properties using hydrodynamic
inverse modeling, and to investigate the frequency dependence of the soil dielectric permittivity and electric conductivity
of a sandy soil for different water contents.
In the continuation of these advances, the objective of the ongoing research is to particularly investigate the theoretical
and practical feasibility of identifying the surface dielectric permittivity and water content from full-wave radar
inversion, by focusing in the time domain on the surface wave reflection. Numerical experiments were performed to elucidate
the physical limitations of the current surface reflection method and to investigate the well-posedness of the inverse
scattering problem. Then, laboratory and field scale experiments were conducted to give insights into the sensitivity of
signal inversion with respect to actual modeling and measurement errors. Finally, an experimental analysis was performed
regarding the effect of soil surface roughness on the GPR signal.
DE: 1835 Hydrogeophysics
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
DE: 1875 Vadose zone
DE: 1894 Instruments and techniques: modeling
SC: Hydrology [H]
MN: Fall Meeting 2005