Ground-penetrating radar measurement of crop and surface water content dynamics

Serbin, Guy; Or, Dani

doi:10.1016/j.rse.2005.01.018

Cited by 30 publications

(12 citation statements)

References 46 publications

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“…Additionally, low frequency active systems have been used to study the role of vegetation on land surface properties. The effect of vegetation on the recovery of soil moisture was studied by Mätzler (1990), Serbin and Or (2005), and Joseph et al (2010, 2008). O'Neill et al (1996) used both active and passive microwave sensors for soil moisture estimation through vegetation.…”

Section: List Of Spaceborne Microwave Sensorsmentioning

confidence: 99%

Characterization of Crop Canopies and Water Stress Related Phenomena using Microwave Remote Sensing Methods: A Review

Vereecken

Weihermüller

Jonard

et al. 2012

Vadose Zone Journal

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In this paper we reviewed the use of microwave remote sensing methods for characterizing crop canopies and vegetation water stress related phenomena. Our analysis includes both active and passive systems that are ground‐based, airborne, or spaceborne. Most of the published results that have examined crop canopy characterization and water stress have used active microwave systems. In general, quantifying the effect of dynamic vegetation properties, and water stress related processes in particular, on the measured microwave signals can still benefit from improved models and more observational data. Integrated data sets providing information on both soil status and plant status are lacking, which has hampered the development and validation of mathematical models. There is a need to link three‐dimensional functional, structural crop models with radiative transfer models to better understand the effect of environmental and related physiological processes on microwave signals and to better quantify the impact of water stress on microwave signals. Such modeling approaches should incorporate both passive and active microwave methods. Studies that combine different sensor technologies that cover the full spectral range from optical to microwave have the potential to move forward our knowledge of the status of crop canopies and particularly water related stress phenomena. Assimilation of remotely sensed properties, such as backscattering coefficient or brightness temperature, in terms of estimating biophysical crop properties using mathematical models is also an unexplored avenue.

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Section: List Of Spaceborne Microwave Sensorsmentioning

confidence: 99%

Characterization of Crop Canopies and Water Stress Related Phenomena using Microwave Remote Sensing Methods: A Review

Vereecken

Weihermüller

Jonard

et al. 2012

Vadose Zone Journal

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“…In that respect, ground penetrating radar (GPR) has shown further potentialities to increase the extraction of information about surface and subsurface soil moisture [Huisman et al, 2003, Galagedara et al, 2005, Serbin and Or, 2005, Lunt et al, 2005, Doolittle et al, 2006, Lambot et al, 2008a. Characterization of soil moisture in multilayered media using inversion of GPR data was performed by Lambot et al [2004b], van der Kruk [2006] and Strobbia and Cassiani [2007].…”

Section: Introductionmentioning

confidence: 99%

Mapping shallow soil moisture profiles at the field scale using full-waveform inversion of ground penetrating radar data

et al. 2011

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Full-waveform inversions were applied to retrieve surface, two-layered and continuous soil moisture profiles from ground penetrating radar (GPR) data acquired in an 11-ha agricultural field situated in the loess belt area in central Belgium. The radar system consisted of a vector network analyzer combined with an off-ground horn antenna operating in the frequency range 200-2000 MHz. The GPR system was computer controlled and synchronized with a differential GPS for real-time data acquisition. Several inversion strategies were also tested using numerical experiments, which in particular demonstrated the potentiality to reconstruct simplified two-layered configurations from more complex, continuous dielectric profiles as prevalent in the environment. The surface soil moisture map obtained assuming a onelayered model showed a global moisture pattern mainly explained by the topography while local moisture patterns indicate a line effect. Two-layered and profile inversions provided consistent estimates with respect to each other and field observations, showing significant moisture increases with depth. However, some discrepancies were observed between the measured and modeled GPR data in the higher frequency ranges, mainly due to surface roughness effects which are not accounted for. The proposed GPR method and inversion strategies show great promise for high-resolution, realtime mapping of soil moisture at the field scale. * julien.minet@uclouvain.be

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“…The brightness along the river is due to the scattering of seasonal crops. The images were acquired during the dry season (beginning of May), at the beginning of the rainy season (June), in the vegetation-growing season (July) and at the end of the rainy season (October) and thus show the spatio-temporal variability of the surface parameters, particularly soil moisture and vegetation, which along with the sensor parameters (incidence angle in the present case) modifies the backscattering coefficient (Ulaby et al, 1978;Serbin & Or, 2005). For example, at the same incidence angle, the signal in the South West is stronger in June than in October 2001, due to changes in surface characteristics.…”

Section: Radarsat-1 Datamentioning

confidence: 99%

An integrated approach to hydro-geological lineament mapping of a semi-arid region of West Africa using Radarsat-1 and GIS

Corgne

Magagi

Yergeau

et al. 2010

Remote Sensing of Environment

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Ground-penetrating radar measurement of crop and surface water content dynamics

Cited by 30 publications

References 46 publications

Characterization of Crop Canopies and Water Stress Related Phenomena using Microwave Remote Sensing Methods: A Review

Characterization of Crop Canopies and Water Stress Related Phenomena using Microwave Remote Sensing Methods: A Review

Mapping shallow soil moisture profiles at the field scale using full-waveform inversion of ground penetrating radar data

An integrated approach to hydro-geological lineament mapping of a semi-arid region of West Africa using Radarsat-1 and GIS

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